pipeline_tag stringclasses 48
values | library_name stringclasses 198
values | text stringlengths 1 900k | metadata stringlengths 2 438k | id stringlengths 5 122 | last_modified null | tags listlengths 1 1.84k | sha null | created_at stringlengths 25 25 | arxiv listlengths 0 201 | languages listlengths 0 1.83k | tags_str stringlengths 17 9.34k | text_str stringlengths 0 389k | text_lists listlengths 0 722 | processed_texts listlengths 1 723 | tokens_length listlengths 1 723 | input_texts listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dophin-gemma-2b-sft-dolly-chatml-adapter
This model is a fine-tuned version of [cognitivecomputations/dolphin-2.8-gemma-2b](http... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "cognitivecomputations/dolphin-2.8-gemma-2b", "model-index": [{"name": "dophin-gemma-2b-sft-dolly-chatml-adapter", "results": []}]} | venkateshmurugadas/dophin-gemma-2b-sft-dolly-chatml-adapter | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:cognitivecomputations/dolphin-2.8-gemma-2b",
"region:us"
] | null | 2024-04-11T01:06:30+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-cognitivecomputations/dolphin-2.8-gemma-2b #region-us
|
# dophin-gemma-2b-sft-dolly-chatml-adapter
This model is a fine-tuned version of cognitivecomputations/dolphin-2.8-gemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## ... | [
"# dophin-gemma-2b-sft-dolly-chatml-adapter\n\nThis model is a fine-tuned version of cognitivecomputations/dolphin-2.8-gemma-2b on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore i... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-cognitivecomputations/dolphin-2.8-gemma-2b #region-us \n",
"# dophin-gemma-2b-sft-dolly-chatml-adapter\n\nThis model is a fine-tuned version of cognitivecomputations/dolphin-2.8-gemma-2b on the generator datase... | [
52,
50,
7,
9,
9,
4,
126,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-cognitivecomputations/dolphin-2.8-gemma-2b #region-us \n# dophin-gemma-2b-sft-dolly-chatml-adapter\n\nThis model is a fine-tuned version of cognitivecomputations/dolphin-2.8-gemma-2b on the generator dataset.## M... |
null | transformers |
# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story`](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["NeuralNovel/Neural-Story-v1"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": false, "model-index": [{"name": "Mistral-7B-Instruct-v0.2-Neural-Story", "results": [{"task":... | DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:NeuralNovel/Neural-Story-v1",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T01:06:31+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us
|
# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the ... | [
"# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Mistral... | [
76,
95,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us \n# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Mistral-7B-In... |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | NavaneethNivol/ResuLlama-2-data-hf | null | [
"peft",
"region:us"
] | null | 2024-04-11T01:08:43+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_4bit_quant_type: nf4\n- b... | [
"TAGS\n#peft #region-us \n",
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n... | [
8,
284,
21
] | [
"TAGS\n#peft #region-us \n## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_... |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | mille055/duke_chatbot0410_adapter | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-11T01:09:30+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finet... | [
41,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
13
] | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [o... |
feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep10 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T01:11:00+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been au... | [
35,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically genera... |
text-generation | transformers |
# WikiChat-v0.1
Training in progress model designed to write WikiHow articles.
The GGUFs uploaded are full FP32 precision.
[v2 model](https://huggingface.co/leafspark/wikichat-v2/) (71.7m params)
## Model Details:
- 40M parameters
- 8 attention heads
- 28 layers
- 256 embeddings size
- 4096/1536 context (refer to m... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["HuggingFaceTB/cosmopedia", "databricks/databricks-dolly-15k"], "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | leafspark/wikichat | null | [
"transformers",
"gguf",
"text-generation",
"en",
"dataset:HuggingFaceTB/cosmopedia",
"dataset:databricks/databricks-dolly-15k",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T01:12:51+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation #en #dataset-HuggingFaceTB/cosmopedia #dataset-databricks/databricks-dolly-15k #license-apache-2.0 #endpoints_compatible #region-us
|
# WikiChat-v0.1
Training in progress model designed to write WikiHow articles.
The GGUFs uploaded are full FP32 precision.
v2 model (71.7m params)
## Model Details:
- 40M parameters
- 8 attention heads
- 28 layers
- 256 embeddings size
- 4096/1536 context (refer to model name; upgraded from 1536, please expect a te... | [
"# WikiChat-v0.1\nTraining in progress model designed to write WikiHow articles.\n\nThe GGUFs uploaded are full FP32 precision.\n\nv2 model (71.7m params)",
"## Model Details:\n- 40M parameters\n- 8 attention heads\n- 28 layers\n- 256 embeddings size\n- 4096/1536 context (refer to model name; upgraded from 1536, ... | [
"TAGS\n#transformers #gguf #text-generation #en #dataset-HuggingFaceTB/cosmopedia #dataset-databricks/databricks-dolly-15k #license-apache-2.0 #endpoints_compatible #region-us \n",
"# WikiChat-v0.1\nTraining in progress model designed to write WikiHow articles.\n\nThe GGUFs uploaded are full FP32 precision.\n\nv2... | [
59,
44,
49,
16,
72,
63,
5
] | [
"TAGS\n#transformers #gguf #text-generation #en #dataset-HuggingFaceTB/cosmopedia #dataset-databricks/databricks-dolly-15k #license-apache-2.0 #endpoints_compatible #region-us \n# WikiChat-v0.1\nTraining in progress model designed to write WikiHow articles.\n\nThe GGUFs uploaded are full FP32 precision.\n\nv2 model... |
text-generation | transformers |
# Uploaded model
- **Developed by:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | chatty123/mistral_rank8_sft | null | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"conversational",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T01:13:12+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #mistral #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: chatty123
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: chatty123\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #pytorch #mistral #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: chatty123\n- License... | [
86,
87
] | [
"TAGS\n#transformers #pytorch #mistral #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: chatty123\n- License: apac... |
text-to-image | diffusers |
# Finetuning - mpatel57/backpack_dog
This pipeline was finetuned from **kandinsky-community/kandinsky-2-2-decoder**. Below are some example images generated with the finetuned pipeline using the following prompts: ['A dog']:
Note: these example images should not follow th... | {"license": "creativeml-openrail-m", "tags": ["\u03bb-ECLIPSE", "ECLIPSE", "kandinsky", "text-to-image", "diffusers"], "base_model": "kandinsky-community/kandinsky-2-2-decoder", "prior": ["ECLIPSE-Community/Lambda-ECLIPSE-Prior-v1.0"], "inference": true} | mpatel57/backpack_dog | null | [
"diffusers",
"safetensors",
"λ-ECLIPSE",
"ECLIPSE",
"kandinsky",
"text-to-image",
"base_model:kandinsky-community/kandinsky-2-2-decoder",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:KandinskyV22Pipeline",
"region:us"
] | null | 2024-04-11T01:14:23+00:00 | [] | [] | TAGS
#diffusers #safetensors #λ-ECLIPSE #ECLIPSE #kandinsky #text-to-image #base_model-kandinsky-community/kandinsky-2-2-decoder #license-creativeml-openrail-m #endpoints_compatible #diffusers-KandinskyV22Pipeline #region-us
|
# Finetuning - mpatel57/backpack_dog
This pipeline was finetuned from kandinsky-community/kandinsky-2-2-decoder. Below are some example images generated with the finetuned pipeline using the following prompts: ['A dog']:
!val_imgs_grid
Note: these example images should not follow the original target concept!!... | [
"# Finetuning - mpatel57/backpack_dog\n\nThis pipeline was finetuned from kandinsky-community/kandinsky-2-2-decoder. Below are some example images generated with the finetuned pipeline using the following prompts: ['A dog']: \n\n!val_imgs_grid\n\n\nNote: these example images should not follow the original target co... | [
"TAGS\n#diffusers #safetensors #λ-ECLIPSE #ECLIPSE #kandinsky #text-to-image #base_model-kandinsky-community/kandinsky-2-2-decoder #license-creativeml-openrail-m #endpoints_compatible #diffusers-KandinskyV22Pipeline #region-us \n",
"# Finetuning - mpatel57/backpack_dog\n\nThis pipeline was finetuned from kandinsk... | [
75,
95,
4,
74
] | [
"TAGS\n#diffusers #safetensors #λ-ECLIPSE #ECLIPSE #kandinsky #text-to-image #base_model-kandinsky-community/kandinsky-2-2-decoder #license-creativeml-openrail-m #endpoints_compatible #diffusers-KandinskyV22Pipeline #region-us \n# Finetuning - mpatel57/backpack_dog\n\nThis pipeline was finetuned from kandinsky-comm... |
text-to-image | diffusers |
# CyberRealistic
## v4.2
### Description:
> <p>Several features developed for CyberRealistic Classic 3.1 have been incorporated into this version along with some additional enhancements. Furthermore, the foundation of CyberRealistic has been slightly adjusted.</p><p>Most ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Safetensors", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | sam749/CyberRealistic-v4-2 | null | [
"diffusers",
"safetensors",
"Safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-11T01:16:27+00:00 | [] | [] | TAGS
#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# CyberRealistic
## v4.2
!Generated Sample
### Description:
> <p>Several features developed for CyberRealistic Classic 3.1 have been incorporated into this version along with some additional enhancements. Furthermore, the foundation of CyberRealistic has been slightly adjusted.</p><p>Most sample images us... | [
"# CyberRealistic\n ## v4.2\n\n !Generated Sample\n\n ### Description:\n\n > <p>Several features developed for CyberRealistic Classic 3.1 have been incorporated into this version along with some additional enhancements. Furthermore, the foundation of CyberRealistic has been slightly adjusted.</p><p>Most sample ... | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# CyberRealistic\n ## v4.2\n\n !Generated Sample\n\n ### Description:\n\n > <p>Several features deve... | [
58,
161
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# CyberRealistic\n ## v4.2\n\n !Generated Sample\n\n ### Description:\n\n > <p>Several features developed ... |
automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shtapm/whisper-large_0411_finetuning_decoder31and30_200steps | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T01:16:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has b... | [
34,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically ... |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | NavaneethNivol/ResuLlama-2-testing-hf | null | [
"peft",
"region:us"
] | null | 2024-04-11T01:17:00+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_4bit_quant_type: nf4\n- b... | [
"TAGS\n#peft #region-us \n",
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n... | [
8,
284,
21
] | [
"TAGS\n#peft #region-us \n## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/divinetaco/aranea-ancilla-116b-v1.0
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/arane... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "divinetaco/aranea-ancilla-116b-v1.0", "quantized_by": "mradermacher"} | mradermacher/aranea-ancilla-116b-v1.0-i1-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:divinetaco/aranea-ancilla-116b-v1.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T01:17:12+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-divinetaco/aranea-ancilla-116b-v1.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-divinetaco/aranea-ancilla-116b-v1.0 #endpoints_compatible #region-us \n"
] | [
46
] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-divinetaco/aranea-ancilla-116b-v1.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | venkateshmurugadas/dophin-gemma-2b-sft-dolly-chatml | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T01:20:08+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
43,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
text-generation | transformers |
# M7Neuralsynthesis-7B
M7Neuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [Kukedlc/NeuralSynthesis-7B-v0.3](https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.3)
## 🧩 Configuration
```yaml
models:
- model: liminerity/M7-7b
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["Kukedlc/NeuralSynthesis-7B-v0.3"]} | automerger/M7Neuralsynthesis-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:Kukedlc/NeuralSynthesis-7B-v0.3",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T01:20:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-Kukedlc/NeuralSynthesis-7B-v0.3 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# M7Neuralsynthesis-7B
M7Neuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
* Kukedlc/NeuralSynthesis-7B-v0.3
## Configuration
## Usage
| [
"# M7Neuralsynthesis-7B\n\nM7Neuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.\n* Kukedlc/NeuralSynthesis-7B-v0.3",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-Kukedlc/NeuralSynthesis-7B-v0.3 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# M7Neuralsynthesis-7B\n\nM7Neuralsynthesis-7B is an automa... | [
77,
53,
3,
3
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-Kukedlc/NeuralSynthesis-7B-v0.3 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# M7Neuralsynthesis-7B\n\nM7Neuralsynthesis-7B is an automated me... |
reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
import os
import gymnasium as gym
import panda... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | Megalino111/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T01:23:09+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nT... | [
34,
41,
17
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add you... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Equall/Saul-Base](https://huggingface.co/Eq... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Equall/Saul-Base", "HuggingFaceH4/zephyr-7b-beta"]} | mergekit-community/mergekit-slerp-qcerglv | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Equall/Saul-Base",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T01:25:46+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-Equall/Saul-Base #base_model-HuggingFaceH4/zephyr-7b-beta #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Equall/Saul-Base
* HuggingFaceH4/zephyr-7b-beta
### Configuration
The following... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Equall/Saul-Base\n* HuggingFaceH4/zephyr-7b-beta",
"##... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-Equall/Saul-Base #base_model-HuggingFaceH4/zephyr-7b-beta #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models creat... | [
71,
17,
4,
17,
35,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-Equall/Saul-Base #base_model-HuggingFaceH4/zephyr-7b-beta #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created usi... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0410MP2_neo
This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-1.3B", "model-index": [{"name": "V0410MP2_neo", "results": []}]} | Litzy619/V0410MP2_neo | null | [
"safetensors",
"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-1.3B",
"license:mit",
"region:us"
] | null | 2024-04-11T01:28:49+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-EleutherAI/gpt-neo-1.3B #license-mit #region-us
| V0410MP2\_neo
=============
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.8587
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#safetensors #generated_from_trainer #base_model-EleutherAI/gpt-neo-1.3B #license-mit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_acc... | [
38,
160,
5,
47
] | [
"TAGS\n#safetensors #generated_from_trainer #base_model-EleutherAI/gpt-neo-1.3B #license-mit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulat... |
text-to-image | diffusers |
# endlessReality
## v7
### Description:
> <p>Fixed the issue with body proportions</p>
### Creator: davcha
### Civitai Page: https://civitai.com/models/25573
You can use this with the [🧨Diffusers library](https://github.com/huggingface/diffusers)
### Diffusers... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Safetensors", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | sam749/endlessReality-v7 | null | [
"diffusers",
"safetensors",
"Safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-11T01:28:53+00:00 | [] | [] | TAGS
#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# endlessReality
## v7
!Generated Sample
### Description:
> <p>Fixed the issue with body proportions</p>
### Creator: davcha
### Civitai Page: URL
You can use this with the Diffusers library
### Diffusers
| [
"# endlessReality\n ## v7\n\n !Generated Sample\n\n ### Description:\n\n > <p>Fixed the issue with body proportions</p>\n\n ### Creator: davcha\n ### Civitai Page: URL\n\n You can use this with the Diffusers library\n\n ### Diffusers"
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# endlessReality\n ## v7\n\n !Generated Sample\n\n ### Description:\n\n > <p>Fixed the issue with bo... | [
58,
62
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# endlessReality\n ## v7\n\n !Generated Sample\n\n ### Description:\n\n > <p>Fixed the issue with body pro... |
null | null |
<div id="badges" align="center">
<a href="https://twitter.com/markderune">
<img src="https://img.shields.io/badge/Twitter-blue?style=for-the-badge&logo=twitter&logoColor=white" alt="Twitter Page"/>
</a>
<a href="https://vk.com/kelthic">
<img src="https://img.shields.io/badge/VKontakte-blue?style=for-t... | {} | Kelthic/Kelthic | null | [
"region:us"
] | null | 2024-04-11T01:29:38+00:00 | [] | [] | TAGS
#region-us
|
<div id="badges" align="center">
<a href="URL
<img src="URL alt="Twitter Page"/>
</a>
<a href="URL
<img src="URL alt="VK Page"/>
</a>
<a href="https://t.me/kelthic">
<img src="URL alt="Telegram Page"/>
</a>
<a href="URL
<img src="URL alt="Steam Page"/>
</a>
<a href="mailto:markderune@U... | [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
"TAGS\n#region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | IndicAIDias/Gemma2b_it_fine-tuned | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T01:33:34+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | MrPrjnce/Reinforce-CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-11T01:38:46+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcemen... | [
32,
46
] | [
"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
text-to-image | diffusers |
# The Truality Engine
## TRUALITY ENGINE (PRO)
### Description:
> <p><strong>DON'T USE VAE</strong></p><p><strong>SETTINGS</strong></p><p><strong>Steps: 35</strong><br />with this model, too high means it takes longer to load, test it for each scene individually, keep it ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Safetensors", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | sam749/The-Truality-Engine-TRUALITY-ENGINE-PRO | null | [
"diffusers",
"safetensors",
"Safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-11T01:45:50+00:00 | [] | [] | TAGS
#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# The Truality Engine
## TRUALITY ENGINE (PRO)
!Generated Sample
### Description:
> <p><strong>DON'T USE VAE</strong></p><p><strong>SETTINGS</strong></p><p><strong>Steps: 35</strong><br />with this model, too high means it takes longer to load, test it for each scene individually, keep it at 35 if you don... | [
"# The Truality Engine\n ## TRUALITY ENGINE (PRO)\n\n !Generated Sample\n\n ### Description:\n\n > <p><strong>DON'T USE VAE</strong></p><p><strong>SETTINGS</strong></p><p><strong>Steps: 35</strong><br />with this model, too high means it takes longer to load, test it for each scene individually, keep it at 35 i... | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# The Truality Engine\n ## TRUALITY ENGINE (PRO)\n\n !Generated Sample\n\n ### Description:\n\n > <p... | [
58,
523
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# The Truality Engine\n ## TRUALITY ENGINE (PRO)\n\n !Generated Sample\n\n ### Description:\n\n > <p><stro... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ayman56/mistral_b_SAS_finetuned_50_test | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T01:52:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-to-image | diffusers |
# Western Animation Diffusion
## v1
### Description:
>
### Creator: Lykon
### Civitai Page: https://civitai.com/models/86546
You can use this with the [🧨Diffusers library](https://github.com/huggingface/diffusers)
### Diffusers
```py
from diffusers import... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Safetensors", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | sam749/Western-Animation-Diffusion-v1 | null | [
"diffusers",
"safetensors",
"Safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-11T01:53:27+00:00 | [] | [] | TAGS
#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Western Animation Diffusion
## v1
!Generated Sample
### Description:
>
### Creator: Lykon
### Civitai Page: URL
You can use this with the Diffusers library
### Diffusers
| [
"# Western Animation Diffusion\n ## v1\n\n !Generated Sample\n\n ### Description:\n\n > \n\n ### Creator: Lykon\n ### Civitai Page: URL\n\n You can use this with the Diffusers library\n\n ### Diffusers"
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# Western Animation Diffusion\n ## v1\n\n !Generated Sample\n\n ### Description:\n\n > \n\n ### Cre... | [
58,
49
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Western Animation Diffusion\n ## v1\n\n !Generated Sample\n\n ### Description:\n\n > \n\n ### Creator: ... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 8.0bpw
This is a 8.0bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_8.0bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-11T01:53:32+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| miqu-1-70b-sf - EXL2 8.0bpw
===========================
This is a 8.0bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThi... | [
51,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is t... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_dataup_noreplacerej_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_dataup_noreplacerej_iter_1", "results": []}]} | ZhangShenao/0.0_dataup_noreplacerej_iter_1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_co... | null | 2024-04-11T01:56:57+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.0_dataup_noreplacerej_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
"# 0.0_dataup_noreplacerej_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... | [
94,
60,
7,
9,
9,
4,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... |
automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shtapm/whisper-large_0411_finetuning_decoder31andencoder31_200steps | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:00:00+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has b... | [
34,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically ... |
audio-to-audio | transformers | ---
# Carmen-Mariposa-V2
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:33:02
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into loadable format for https://github.com/chavinlo/rv... | {"license": "apache-2.0", "tags": ["rvc"], "pipeline_tag": "audio-to-audio"} | Moneerrashed/Carmen-Mariposa-V2 | null | [
"transformers",
"rvc",
"audio-to-audio",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:00:25+00:00 | [] | [] | TAGS
#transformers #rvc #audio-to-audio #license-apache-2.0 #endpoints_compatible #region-us
| ---
# Carmen-Mariposa-V2
## RVC Model
!banner
This model repo was automatically generated.
Date: 2023-07-14 07:33:02
Bot Name: juuxnscrap
Model Type: RVC
Source: URL
Reason: Converting into loadable format for URL
| [
"# Carmen-Mariposa-V2",
"## RVC Model\n\n!banner\n\nThis model repo was automatically generated.\n\nDate: 2023-07-14 07:33:02\n\nBot Name: juuxnscrap\n\nModel Type: RVC\n\nSource: URL\n\nReason: Converting into loadable format for URL"
] | [
"TAGS\n#transformers #rvc #audio-to-audio #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Carmen-Mariposa-V2",
"## RVC Model\n\n!banner\n\nThis model repo was automatically generated.\n\nDate: 2023-07-14 07:33:02\n\nBot Name: juuxnscrap\n\nModel Type: RVC\n\nSource: URL\n\nReason: Converting into l... | [
29,
9,
55
] | [
"TAGS\n#transformers #rvc #audio-to-audio #license-apache-2.0 #endpoints_compatible #region-us \n# Carmen-Mariposa-V2## RVC Model\n\n!banner\n\nThis model repo was automatically generated.\n\nDate: 2023-07-14 07:33:02\n\nBot Name: juuxnscrap\n\nModel Type: RVC\n\nSource: URL\n\nReason: Converting into loadable form... |
null | null |
# DavidAU/Senzu-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Senzu-7B-v0.1`](https://huggingface.co/NeuralNovel/Senzu-7B-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["practical-dreamer/RPGPT_PublicDomain-alpaca", "shuyuej/metamath_gsm8k", "NeuralNovel/Neural-DPO"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "out", "results": []}]} | DavidAU/Senzu-7B-v0.1-Q6_K-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"dataset:practical-dreamer/RPGPT_PublicDomain-alpaca",
"dataset:shuyuej/metamath_gsm8k",
"dataset:NeuralNovel/Neural-DPO",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T02:00:46+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# DavidAU/Senzu-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Senzu-7B-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/Senzu-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Senzu-7B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# DavidAU/Senzu-7B-v0.1-Q6_K-GGUF\nThis model was converted ... | [
103,
81,
52
] | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# DavidAU/Senzu-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGU... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_7.0bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"7-bit",
"region:us"
] | null | 2024-04-11T02:04:32+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #7-bit #region-us
| miqu-1-70b-sf - EXL2 7.0bpw
===========================
This is a 7.0bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #7-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThi... | [
51,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #7-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is t... |
null | null |
# DavidAU/Ignis-7B-DPO-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Ignis-7B-DPO`](https://huggingface.co/NeuralNovel/Ignis-7B-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Ignis-7B-DPO-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T02:06:09+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Ignis-7B-DPO-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Y... | [
"# DavidAU/Ignis-7B-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# DavidAU/Ignis-7B-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\n... | [
32,
77,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# DavidAU/Ignis-7B-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL ... |
null | null |
# DavidAU/Ignis-7B-DPO-Laser-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Ignis-7B-DPO-Laser`](https://huggingface.co/NeuralNovel/Ignis-7B-DPO-Laser) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["NeuralNovel/Neural-DPO"], "model-index": [{"name": "Ignis-7B-DPO-Laser", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_a... | DavidAU/Ignis-7B-DPO-Laser-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:NeuralNovel/Neural-DPO",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T02:07:14+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-DPO #license-apache-2.0 #model-index #region-us
|
# DavidAU/Ignis-7B-DPO-Laser-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO-Laser' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
"# DavidAU/Ignis-7B-DPO-Laser-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO-Laser' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-DPO #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Ignis-7B-DPO-Laser-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO-Laser' using URL via the URL's GGUF-my-repo space.\nRefer to the original model... | [
50,
81,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-DPO #license-apache-2.0 #model-index #region-us \n# DavidAU/Ignis-7B-DPO-Laser-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO-Laser' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card ... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [tomaszki/stablelm-22](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-22", "tomaszki/stablelm-21"]} | Sumail/Barista50 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:tomaszki/stablelm-22",
"base_model:tomaszki/stablelm-21",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:10:23+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-tomaszki/stablelm-22 #base_model-tomaszki/stablelm-21 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* tomaszki/stablelm-22
* tomaszki/stablelm-21
### Configuration
The following YAM... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* tomaszki/stablelm-22\n* tomaszki/stablelm-21",
"### Co... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-tomaszki/stablelm-22 #base_model-tomaszki/stablelm-21 #autotrain_compatible #endpoints_compatible #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Mer... | [
62,
17,
4,
17,
32,
16
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-tomaszki/stablelm-22 #base_model-tomaszki/stablelm-21 #autotrain_compatible #endpoints_compatible #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details##... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DreadPoor/Satyr-7B-Model_Stock
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "DreadPoor/Satyr-7B-Model_Stock", "quantized_by": "mradermacher"} | mradermacher/Satyr-7B-Model_Stock-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"en",
"base_model:DreadPoor/Satyr-7B-Model_Stock",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:12:25+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-DreadPoor/Satyr-7B-Model_Stock #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-DreadPoor/Satyr-7B-Model_Stock #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
54
] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-DreadPoor/Satyr-7B-Model_Stock #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | MrPrjnce/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T02:13:18+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo... | [
37,
81,
76,
10,
6,
3
] | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 6.0bpw
This is a 6.0bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_6.0bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-11T02:14:15+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
| miqu-1-70b-sf - EXL2 6.0bpw
===========================
This is a 6.0bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThi... | [
51,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is t... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-neo-1.3B-cs-finetuning-500-1
This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/Eleuther... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-1.3B", "model-index": [{"name": "gpt-neo-1.3B-cs-finetuning-500-1", "results": []}]} | KimByeongSu/gpt-neo-1.3B-cs-finetuning-500-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neo",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-1.3B",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:15:29+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-1.3B #license-mit #autotrain_compatible #endpoints_compatible #region-us
| gpt-neo-1.3B-cs-finetuning-500-1
================================
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8937
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-1.3B #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\... | [
62,
103,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-1.3B #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate... |
null | adapter-transformers |
# Adapter `BigTMiami/domain_adapter_test` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_25M_10_000_condensed](https://huggingface.co/datasets/BigTMiami/amazon_25M_10_000_condensed/) dataset and includes a prediction head for masked lm.
Thi... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_25M_10_000_condensed"]} | BigTMiami/domain_adapter_test | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_25M_10_000_condensed",
"region:us"
] | null | 2024-04-11T02:17:33+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_25M_10_000_condensed #region-us
|
# Adapter 'BigTMiami/domain_adapter_test' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_25M_10_000_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
... | [
"# Adapter 'BigTMiami/domain_adapter_test' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_25M_10_000_condensed dataset and includes a prediction head for masked lm.\n\nThis adapter was created for usage with the Adapters library.",
"## Usage\n\nFirst, install ... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_25M_10_000_condensed #region-us \n",
"# Adapter 'BigTMiami/domain_adapter_test' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_25M_10_000_condensed dataset and includes a prediction head for maske... | [
31,
76,
24,
5,
4
] | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_25M_10_000_condensed #region-us \n# Adapter 'BigTMiami/domain_adapter_test' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_25M_10_000_condensed dataset and includes a prediction head for masked lm.\... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [CultriX/MonaTrix-v4](https://huggingface.co... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["CultriX/MonaTrix-v4", "CultriX/MergeCeption-7B-v3"]} | CultriX/MonaCeption-7B-SLERP | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"base_model:CultriX/MonaTrix-v4",
"base_model:CultriX/MergeCeption-7B-v3",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:17:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-CultriX/MonaTrix-v4 #base_model-CultriX/MergeCeption-7B-v3 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* CultriX/MonaTrix-v4
* CultriX/MergeCeption-7B-v3
### Configuration
The followin... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* CultriX/MonaTrix-v4\n* CultriX/MergeCeption-7B-v3",
"#... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-CultriX/MonaTrix-v4 #base_model-CultriX/MergeCeption-7B-v3 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models ... | [
76,
17,
4,
17,
35,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-CultriX/MonaTrix-v4 #base_model-CultriX/MergeCeption-7B-v3 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models create... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat_DATA7_20240411
This model was trained from scratch on the imagefolder dataset.
It... | {"tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat_DATA7_20240411", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefol... | ElenaHsieh/swin-tiny-patch4-window7-224-finetuned-eurosat_DATA7_20240411 | null | [
"transformers",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:21:17+00:00 | [] | [] | TAGS
#transformers #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #model-index #autotrain_compatible #endpoints_compatible #region-us
| swin-tiny-patch4-window7-224-finetuned-eurosat\_DATA7\_20240411
===============================================================
This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0669
* Accuracy: 0.9784
Model description
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_b... | [
45,
142,
5,
44
] | [
"TAGS\n#transformers #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pesc101/Mistral-7B-Instruct-v0.2-lbl-2x-low-teacher | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:21:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 5.5bpw
This is a 5.5bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_5.5bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:22:27+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| miqu-1-70b-sf - EXL2 5.5bpw
===========================
This is a 5.5bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is th... | [
47,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the scri... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [CultriX/MergeCeption-7B-v3](https://hugging... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["CultriX/MergeCeption-7B-v3", "abideen/AlphaMonarch-daser"]} | CultriX/AlphaCeption-7B-v1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:CultriX/MergeCeption-7B-v3",
"base_model:abideen/AlphaMonarch-daser",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-11T02:24:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-CultriX/MergeCeption-7B-v3 #base_model-abideen/AlphaMonarch-daser #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* CultriX/MergeCeption-7B-v3
* abideen/AlphaMonarch-daser
### Configuration
The f... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* CultriX/MergeCeption-7B-v3\n* abideen/AlphaMonarch-daser... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-CultriX/MergeCeption-7B-v3 #base_model-abideen/AlphaMonarch-daser #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-t... | [
81,
17,
4,
17,
37,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-CultriX/MergeCeption-7B-v3 #base_model-abideen/AlphaMonarch-daser #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | suneeln-duke/qa-ft-mistral | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:27:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune_starcoder2
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) ... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "finetune_starcoder2", "results": []}]} | mahathun/finetune_starcoder2 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:bigcode/starcoder2-3b",
"license:bigcode-openrail-m",
"region:us"
] | null | 2024-04-11T02:28:36+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us
|
# finetune_starcoder2
This model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamet... | [
"# finetune_starcoder2\n\nThis model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure"... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us \n",
"# finetune_starcoder2\n\nThis model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intend... | [
49,
34,
7,
9,
9,
4,
124,
5,
55
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us \n# finetune_starcoder2\n\nThis model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limitati... |
text-generation | transformers |
---
# Eclectic-Maid-10B-v2-1
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
A much better improvement over Eclectic-Maid-10B-v2
### Merge Method
This model was merged using the passthrough merge method.
### Models Mer... | {"library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences"], "base_model": []} | ND911/Eclectic-Maid-10B-v2-1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"not-for-all-audiences",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:29:19+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #not-for-all-audiences #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
---
# Eclectic-Maid-10B-v2-1
This is a merge of pre-trained language models created using mergekit.
## Merge Details
A much better improvement over Eclectic-Maid-10B-v2
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in t... | [
"# Eclectic-Maid-10B-v2-1\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details\n\nA much better improvement over Eclectic-Maid-10B-v2",
"### Merge Method\n\nThis model was merged using the passthrough merge method.",
"### Models Merged\n\nThe following models were incl... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #not-for-all-audiences #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Eclectic-Maid-10B-v2-1\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details\n\nA ... | [
47,
27,
18,
18,
21,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #not-for-all-audiences #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Eclectic-Maid-10B-v2-1\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details\n\nA much better ... |
text-generation | transformers | # Model Card: SlimHercules-4.0-Mistral-v0.2-7B
## Model Description
SlimHercules-4.0-Mistral-v0.2-7B is a fine-tuned language model derived from Mistralai/Mistral-7B-v0.2. It is specifically designed to excel in instruction following, f... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["medical", "science", "biology", "chemistry", "not-for-all-audiences"], "datasets": ["Locutusque/hercules-v4.0"], "base_model": "alpindale/Mistral-7B-v0.2-hf"} | Locutusque/SlimHercules-4.0-Mistral-7B-v0.2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"medical",
"science",
"biology",
"chemistry",
"not-for-all-audiences",
"en",
"dataset:Locutusque/hercules-v4.0",
"base_model:alpindale/Mistral-7B-v0.2-hf",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-11T02:29:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #medical #science #biology #chemistry #not-for-all-audiences #en #dataset-Locutusque/hercules-v4.0 #base_model-alpindale/Mistral-7B-v0.2-hf #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Card: SlimHercules-4.0-Mistral-v0.2-7B
============================================
!image/png
Model Description
-----------------
SlimHercules-4.0-Mistral-v0.2-7B is a fine-tuned language model derived from Mistralai/Mistral-7B-v0.2. It is specifically designed to excel in instruction following, function c... | [
"### EXL2 @bartowski\n\n\n* URL",
"### GGUF @bartowski\n\n\n* URL",
"### AWQ @solidrust\n\n\n* URL\n\n\nIntended Uses & Potential Bias\n------------------------------\n\n\nSlimHercules-4.0-Mistral-v0.2-7B is well-suited to the following applications:\n\n\n* Specialized Chatbots: Creating knowledgeable chatbots ... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #medical #science #biology #chemistry #not-for-all-audiences #en #dataset-Locutusque/hercules-v4.0 #base_model-alpindale/Mistral-7B-v0.2-hf #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### EX... | [
97,
12,
12,
538
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #medical #science #biology #chemistry #not-for-all-audiences #en #dataset-Locutusque/hercules-v4.0 #base_model-alpindale/Mistral-7B-v0.2-hf #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### EXL2 @ba... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 5.0bpw
This is a 5.0bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_5.0bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"5-bit",
"region:us"
] | null | 2024-04-11T02:30:00+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us
| miqu-1-70b-sf - EXL2 5.0bpw
===========================
This is a 5.0bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThi... | [
51,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is t... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | suneeln-duke/qa-ft-mistral-merged | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-11T02:30:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has be... | [
48,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the H... |
null | null |
# DavidAU/Senzu-7B-v0.1-DPO-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Senzu-7B-v0.1-DPO`](https://huggingface.co/NeuralNovel/Senzu-7B-v0.1-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["practical-dreamer/RPGPT_PublicDomain-alpaca", "shuyuej/metamath_gsm8k", "NeuralNovel/Neural-DPO"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "out", "results": []}]} | DavidAU/Senzu-7B-v0.1-DPO-Q6_K-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"dataset:practical-dreamer/RPGPT_PublicDomain-alpaca",
"dataset:shuyuej/metamath_gsm8k",
"dataset:NeuralNovel/Neural-DPO",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T02:31:55+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# DavidAU/Senzu-7B-v0.1-DPO-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Senzu-7B-v0.1-DPO' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/Senzu-7B-v0.1-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Senzu-7B-v0.1-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# DavidAU/Senzu-7B-v0.1-DPO-Q6_K-GGUF\nThis model was conver... | [
103,
87,
52
] | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# DavidAU/Senzu-7B-v0.1-DPO-Q6_K-GGUF\nThis model was converted to... |
text-generation | transformers |
## Model Details
**Model Architecture:**
urLLM-KO_EN-2.7B is an auto-regressive language model that leverages an optimized transformer architecture derived from princeton-nlp/Sheared-LLaMA-2.7B.
**Training Corpus**
The model was trained using selected datasets from Modu Corpus, Korean Wikipedia and Kaggle English ... | {"language": ["ko", "en"], "license": "cc-by-nc-4.0", "tags": ["meta", "llama-2", "llama-2-ko-en", "sheared llama"], "pipeline_tag": "text-generation"} | URP/urllm-ko_en-2.7b | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"meta",
"llama-2",
"llama-2-ko-en",
"sheared llama",
"ko",
"en",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:35:38+00:00 | [] | [
"ko",
"en"
] | TAGS
#transformers #pytorch #llama #text-generation #meta #llama-2 #llama-2-ko-en #sheared llama #ko #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Model Details
Model Architecture:
urLLM-KO_EN-2.7B is an auto-regressive language model that leverages an optimized transformer architecture derived from princeton-nlp/Sheared-LLaMA-2.7B.
Training Corpus
The model was trained using selected datasets from Modu Corpus, Korean Wikipedia and Kaggle English News (ap... | [
"## Model Details\n\nModel Architecture:\n\nurLLM-KO_EN-2.7B is an auto-regressive language model that leverages an optimized transformer architecture derived from princeton-nlp/Sheared-LLaMA-2.7B.\n\nTraining Corpus\n\nThe model was trained using selected datasets from Modu Corpus, Korean Wikipedia and Kaggle Engl... | [
"TAGS\n#transformers #pytorch #llama #text-generation #meta #llama-2 #llama-2-ko-en #sheared llama #ko #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"## Model Details\n\nModel Architecture:\n\nurLLM-KO_EN-2.7B is an auto-regressive language model ... | [
72,
125
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #meta #llama-2 #llama-2-ko-en #sheared llama #ko #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## Model Details\n\nModel Architecture:\n\nurLLM-KO_EN-2.7B is an auto-regressive language model that l... |
text-generation | transformers |
# Unmixtraled 22B expert 0
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mix... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-expert-0 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mixtral",
"dense",
"expert",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:35:57+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Unmixtraled 22B expert 0
========================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-v0.1.
The mode... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 4.5bpw
This is a 4.5bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_4.5bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:36:54+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| miqu-1-70b-sf - EXL2 4.5bpw
===========================
This is a 4.5bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is th... | [
47,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the scri... |
null | null |
# DavidAU/Confinus-2x7B-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Confinus-2x7B`](https://huggingface.co/NeuralNovel/Confinus-2x7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"language": ["en"], "license": "apache-2.0", "tags": ["moe", "merge", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "Confinus-2x7B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge... | DavidAU/Confinus-2x7B-Q6_K-GGUF | null | [
"gguf",
"moe",
"merge",
"llama-cpp",
"gguf-my-repo",
"en",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T02:37:03+00:00 | [] | [
"en"
] | TAGS
#gguf #moe #merge #llama-cpp #gguf-my-repo #en #license-apache-2.0 #model-index #region-us
|
# DavidAU/Confinus-2x7B-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Confinus-2x7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/Confinus-2x7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Confinus-2x7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
"TAGS\n#gguf #moe #merge #llama-cpp #gguf-my-repo #en #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Confinus-2x7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Confinus-2x7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the ... | [
42,
77,
52
] | [
"TAGS\n#gguf #moe #merge #llama-cpp #gguf-my-repo #en #license-apache-2.0 #model-index #region-us \n# DavidAU/Confinus-2x7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Confinus-2x7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.... |
null | transformers |
# Model Card for Model ID
This is the [Llama-2-7b-chat tokenizer](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) but modified to support tool use and function calling.
There are only two things different about this tokenizer:
1. This chat template supports the "tool" role while the original tokenizer only sup... | {"library_name": "transformers", "tags": []} | eitanturok/llama-tokenizer-tool | null | [
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:37:29+00:00 | [] | [] | TAGS
#transformers #endpoints_compatible #region-us
|
# Model Card for Model ID
This is the Llama-2-7b-chat tokenizer but modified to support tool use and function calling.
There are only two things different about this tokenizer:
1. This chat template supports the "tool" role while the original tokenizer only supported the "system", "assisstant", and "user" roles.
2. ... | [
"# Model Card for Model ID\n\nThis is the Llama-2-7b-chat tokenizer but modified to support tool use and function calling.\n\nThere are only two things different about this tokenizer:\n1. This chat template supports the \"tool\" role while the original tokenizer only supported the \"system\", \"assisstant\", and \"... | [
"TAGS\n#transformers #endpoints_compatible #region-us \n",
"# Model Card for Model ID\n\nThis is the Llama-2-7b-chat tokenizer but modified to support tool use and function calling.\n\nThere are only two things different about this tokenizer:\n1. This chat template supports the \"tool\" role while the original to... | [
12,
145
] | [
"TAGS\n#transformers #endpoints_compatible #region-us \n# Model Card for Model ID\n\nThis is the Llama-2-7b-chat tokenizer but modified to support tool use and function calling.\n\nThere are only two things different about this tokenizer:\n1. This chat template supports the \"tool\" role while the original tokenize... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-imdb-160m-mz-ada-v3-bs-4
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-imdb-160m-mz-ada-v3-bs-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-160m-mz-ada-v3-bs-4 | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:37:39+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-imdb-160m-mz-ada-v3-bs-4
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# robust_llm_pythia-imdb-160m-mz-ada-v3-bs-4\n\nThis model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-imdb-160m-mz-ada-v3-bs-4\n\nThis model is a fine-tuned version... | [
67,
53,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-imdb-160m-mz-ada-v3-bs-4\n\nThis model is a fine-tuned version of El... |
text-to-image | diffusers |
# AniHelloy2d
## v2.1
### Description:
>
### Creator: MarkWar
### Civitai Page: https://civitai.com/models/147548
You can use this with the [🧨Diffusers library](https://github.com/huggingface/diffusers)
### Diffusers
```py
from diffusers import StableDiff... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Safetensors", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | sam749/AniHelloy2d-v2-1 | null | [
"diffusers",
"safetensors",
"Safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-11T02:38:48+00:00 | [] | [] | TAGS
#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# AniHelloy2d
## v2.1
!Generated Sample
### Description:
>
### Creator: MarkWar
### Civitai Page: URL
You can use this with the Diffusers library
### Diffusers
| [
"# AniHelloy2d\n ## v2.1\n\n !Generated Sample\n\n ### Description:\n\n > \n\n ### Creator: MarkWar\n ### Civitai Page: URL\n\n You can use this with the Diffusers library\n\n ### Diffusers"
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# AniHelloy2d\n ## v2.1\n\n !Generated Sample\n\n ### Description:\n\n > \n\n ### Creator: MarkWar\... | [
58,
53
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# AniHelloy2d\n ## v2.1\n\n !Generated Sample\n\n ### Description:\n\n > \n\n ### Creator: MarkWar\n ###... |
null | peft |
# DavidAU/Valor-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Valor-7B-v0.1`](https://huggingface.co/NeuralNovel/Valor-7B-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["NeuralNovel/Neural-Story-v1"], "base_model": "alnrg2arg/blockchainlabs_7B_merged_test2_4", "model-index": [{"name": "qlora-out", "results": []}]} | DavidAU/Valor-7B-v0.1-Q6_K-GGUF | null | [
"peft",
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"dataset:NeuralNovel/Neural-Story-v1",
"base_model:alnrg2arg/blockchainlabs_7B_merged_test2_4",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T02:39:16+00:00 | [] | [] | TAGS
#peft #gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Neural-Story-v1 #base_model-alnrg2arg/blockchainlabs_7B_merged_test2_4 #license-apache-2.0 #region-us
|
# DavidAU/Valor-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Valor-7B-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/Valor-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Valor-7B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
"TAGS\n#peft #gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Neural-Story-v1 #base_model-alnrg2arg/blockchainlabs_7B_merged_test2_4 #license-apache-2.0 #region-us \n",
"# DavidAU/Valor-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Valor-7B-v0.1' using URL... | [
82,
79,
52
] | [
"TAGS\n#peft #gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Neural-Story-v1 #base_model-alnrg2arg/blockchainlabs_7B_merged_test2_4 #license-apache-2.0 #region-us \n# DavidAU/Valor-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Valor-7B-v0.1' using URL via t... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# L1-classifier-WFT
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "L1-classifier-WFT", "results": []}]} | Zlovoblachko/L1-classifier-WFT | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:39:23+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| L1-classifier-WFT
=================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3400
* F1: 0.8571
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
59,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistralv1_dora_r24_1e5
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_dora_r24_1e5", "results": []}]} | fangzhaoz/mistralv1_dora_r24_1e5 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T02:39:48+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistralv1_dora_r24_1e5
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# mistralv1_dora_r24_1e5\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# mistralv1_dora_r24_1e5\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.",
"## Model description\n\nMore information needed",
"## In... | [
48,
43,
7,
9,
9,
4,
93,
5,
55
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# mistralv1_dora_r24_1e5\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.## Model description\n\nMore information needed## Intended uses & limi... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | fangzhaoz/mistralv1_dora_r24_1e5_merged | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:40:01+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 4.0bpw
This is a 4.0bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_4.0bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-11T02:43:10+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| miqu-1-70b-sf - EXL2 4.0bpw
===========================
This is a 4.0bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThi... | [
51,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is t... |
null | null |
# DavidAU/Tiger-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Tiger-7B-v0.1`](https://huggingface.co/NeuralNovel/Tiger-7B-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"license": "apache-2.0", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs", "NeuralNovel/Neural-Story-v1"], "base_model": ["NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story", "NeuralNovel/Gecko-7B-v0.1-DPO"], "model-index": [{"name": "Tiger-7b-v0.1", "results": [{"task": ... | DavidAU/Tiger-7B-v0.1-Q6_K-GGUF | null | [
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"dataset:Intel/orca_dpo_pairs",
"dataset:NeuralNovel/Neural-Story-v1",
"base_model:NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story",
"base_model:NeuralNovel/Gecko-7B-v0.1-DPO",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T02:43:16+00:00 | [] | [] | TAGS
#gguf #mergekit #merge #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #dataset-NeuralNovel/Neural-Story-v1 #base_model-NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story #base_model-NeuralNovel/Gecko-7B-v0.1-DPO #license-apache-2.0 #model-index #region-us
|
# DavidAU/Tiger-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Tiger-7B-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/Tiger-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Tiger-7B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
"TAGS\n#gguf #mergekit #merge #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #dataset-NeuralNovel/Neural-Story-v1 #base_model-NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story #base_model-NeuralNovel/Gecko-7B-v0.1-DPO #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Tiger-7B-v0.1-Q6_K-GGUF\nThi... | [
116,
79,
52
] | [
"TAGS\n#gguf #mergekit #merge #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #dataset-NeuralNovel/Neural-Story-v1 #base_model-NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story #base_model-NeuralNovel/Gecko-7B-v0.1-DPO #license-apache-2.0 #model-index #region-us \n# DavidAU/Tiger-7B-v0.1-Q6_K-GGUF\nThis mode... |
null | transformers |
# DavidAU/Gecko-7B-v0.1-DPO-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Gecko-7B-v0.1-DPO`](https://huggingface.co/NeuralNovel/Gecko-7B-v0.1-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs"], "base_model": "NeuralNovel/Gecko-7B-v0.1", "inference": false, "model-index": [{"name": "Gecko-7B-v0.1-DPO", "results": [{"task": {"type": "text-generation", "name": "Text Generation"},... | DavidAU/Gecko-7B-v0.1-DPO-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:Intel/orca_dpo_pairs",
"base_model:NeuralNovel/Gecko-7B-v0.1",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T02:45:01+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #base_model-NeuralNovel/Gecko-7B-v0.1 #license-apache-2.0 #model-index #region-us
|
# DavidAU/Gecko-7B-v0.1-DPO-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Gecko-7B-v0.1-DPO' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/Gecko-7B-v0.1-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Gecko-7B-v0.1-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #base_model-NeuralNovel/Gecko-7B-v0.1 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Gecko-7B-v0.1-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Gecko-7B-v0.1-DPO' using URL via the URL's GGUF... | [
70,
87,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #base_model-NeuralNovel/Gecko-7B-v0.1 #license-apache-2.0 #model-index #region-us \n# DavidAU/Gecko-7B-v0.1-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Gecko-7B-v0.1-DPO' using URL via the URL's GGUF-my-re... |
text-to-image | diffusers |
# BestQuality-PastelMix
## BestQuality-PastelMix
### Description:
>
### Creator: yunleme
### Civitai Page: https://civitai.com/models/22045
You can use this with the [🧨Diffusers library](https://github.com/huggingface/diffusers)
### Diffusers
```py
from d... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Safetensors", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | sam749/BestQuality-PastelMix-BestQuality-PastelMix | null | [
"diffusers",
"safetensors",
"Safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-11T02:46:14+00:00 | [] | [] | TAGS
#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# BestQuality-PastelMix
## BestQuality-PastelMix
!Generated Sample
### Description:
>
### Creator: yunleme
### Civitai Page: URL
You can use this with the Diffusers library
### Diffusers
| [
"# BestQuality-PastelMix\n ## BestQuality-PastelMix\n\n !Generated Sample\n\n ### Description:\n\n > \n\n ### Creator: yunleme\n ### Civitai Page: URL\n\n You can use this with the Diffusers library\n\n ### Diffusers"
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# BestQuality-PastelMix\n ## BestQuality-PastelMix\n\n !Generated Sample\n\n ### Description:\n\n > ... | [
58,
58
] | [
"TAGS\n#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# BestQuality-PastelMix\n ## BestQuality-PastelMix\n\n !Generated Sample\n\n ### Description:\n\n > \n\n ... |
null | transformers |
# DavidAU/Gecko-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Gecko-7B-v0.1`](https://huggingface.co/NeuralNovel/Gecko-7B-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": false, "model-index": [{"name": "Gecko-7B-v0.1", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoni... | DavidAU/Gecko-7B-v0.1-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T02:46:55+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us
|
# DavidAU/Gecko-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Gecko-7B-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/Gecko-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Gecko-7B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Gecko-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Gecko-7B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the... | [
60,
81,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us \n# DavidAU/Gecko-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Gecko-7B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the origi... |
text-generation | transformers |
# Unmixtraled 22B expert 1
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mix... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-expert-1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mixtral",
"dense",
"expert",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:48:29+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Unmixtraled 22B expert 1
========================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-v0.1.
The mode... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 3.5bpw
This is a 3.5bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_3.5bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:48:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| miqu-1-70b-sf - EXL2 3.5bpw
===========================
This is a 3.5bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is th... | [
47,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the scri... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biogpt-finetuned-ner
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unk... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "biogpt-finetuned-ner", "results": []}]} | aprilyan/biogpt-finetuned-ner | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"token-classification",
"generated_from_trainer",
"base_model:microsoft/biogpt",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:49:55+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #base_model-microsoft/biogpt #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| biogpt-finetuned-ner
====================
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1457
* Precision: 0.5046
* Recall: 0.5763
* F1: 0.5381
* Accuracy: 0.9570
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #base_model-microsoft/biogpt #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trai... | [
58,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #base_model-microsoft/biogpt #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | xrchen11/xlm-roberta-base-finetuned-panx-de | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:51:03+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learnin... | [
54,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_ra... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# L1-classifier-TenSem
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "L1-classifier-TenSem", "results": []}]} | Zlovoblachko/L1-classifier-TenSem | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:52:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| L1-classifier-TenSem
====================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2660
* Accuracy: 0.9026
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... | [
59,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distillbert-fine-tune-ner-task
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "pipeline_tag": "token-classification", "model-index": [{"name": "distillbert-fine-tune-ner-task", "results": []}]} | mokarakaya/distillbert-fine-tune-ner-task | null | [
"transformers",
"safetensors",
"distilbert",
"generated_from_trainer",
"token-classification",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:52:27+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #generated_from_trainer #token-classification #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| distillbert-fine-tune-ner-task
==============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2001
* Precision: 0.7185
* Recall: 0.9406
* F1: 0.8147
* Accuracy: 0.9768
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #safetensors #distilbert #generated_from_trainer #token-classification #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* tra... | [
51,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #distilbert #generated_from_trainer #token-classification #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_b... |
text-generation | transformers |
# Implementar LLM y SQL para interactuar con una base de datos en español en un enfoque multimodal
El desafío de generar SQL preciso para las consultas de los usuarios ha persistido durante mucho tiempo, ya que exige una comprensión profunda tanto de la consulta como de la base de datos.
Existen soluciones se basan ... | {"language": ["es"], "license": "apache-2.0"} | somosnlp/LLM_SQL_BaseDatosEspanol_Mistral | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-11T02:53:07+00:00 | [] | [
"es"
] | TAGS
#transformers #safetensors #mistral #text-generation #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Implementar LLM y SQL para interactuar con una base de datos en español en un enfoque multimodal
El desafío de generar SQL preciso para las consultas de los usuarios ha persistido durante mucho tiempo, ya que exige una comprensión profunda tanto de la consulta como de la base de datos.
Existen soluciones se basan ... | [
"# Implementar LLM y SQL para interactuar con una base de datos en español en un enfoque multimodal\n\nEl desafío de generar SQL preciso para las consultas de los usuarios ha persistido durante mucho tiempo, ya que exige una comprensión profunda tanto de la consulta como de la base de datos. \nExisten soluciones se... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Implementar LLM y SQL para interactuar con una base de datos en español en un enfoque multimodal\n\nEl desafío de generar SQL preciso... | [
48,
370,
8,
261,
117,
7,
15,
5,
59,
129,
40
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Implementar LLM y SQL para interactuar con una base de datos en español en un enfoque multimodal\n\nEl desafío de generar SQL preciso para ... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 3.0bpw
This is a 3.0bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_3.0bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"3-bit",
"region:us"
] | null | 2024-04-11T02:53:32+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us
| miqu-1-70b-sf - EXL2 3.0bpw
===========================
This is a 3.0bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThi... | [
51,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is t... |
null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.2-SFT
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with SFT and a new tokenizer configuration for chat t... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["SFT", "WeniGPT"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.2-SFT", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.2-SFT | null | [
"trl",
"safetensors",
"SFT",
"WeniGPT",
"pt",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:mit",
"region:us"
] | null | 2024-04-11T02:54:29+00:00 | [] | [
"pt"
] | TAGS
#trl #safetensors #SFT #WeniGPT #pt #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-mit #region-us
|
# Weni/WeniGPT-Agents-Mistral-1.0.2-SFT
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for Weni.
Description: Experiment with SFT and a new tokenizer configuration for chat template of mistral
... | [
"# Weni/WeniGPT-Agents-Mistral-1.0.2-SFT\n\nThis model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for Weni.\nDescription: Experiment with SFT and a new tokenizer configuration for chat template of mi... | [
"TAGS\n#trl #safetensors #SFT #WeniGPT #pt #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-mit #region-us \n",
"# Weni/WeniGPT-Agents-Mistral-1.0.2-SFT\n\nThis model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of ... | [
47,
187,
19,
34,
261,
5,
191,
10
] | [
"TAGS\n#trl #safetensors #SFT #WeniGPT #pt #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-mit #region-us \n# Weni/WeniGPT-Agents-Mistral-1.0.2-SFT\n\nThis model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the We... |
automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shtapm/whisper-large_0411_finetuning_ende3031_200steps | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:54:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has b... | [
34,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically ... |
null | null | # test model | {} | myatmo/test-model | null | [
"region:us"
] | null | 2024-04-11T02:55:06+00:00 | [] | [] | TAGS
#region-us
| # test model | [
"# test model"
] | [
"TAGS\n#region-us \n",
"# test model"
] | [
5,
3
] | [
"TAGS\n#region-us \n# test model"
] |
reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | MrPrjnce/ppo-scratch-LunarLander-v2 | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
] | null | 2024-04-11T02:55:22+00:00 | [] | [] | TAGS
#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
| [
"# PPO Agent Playing LunarLander-v2\n\n This is a trained model of a PPO agent playing LunarLander-v2.\n \n # Hyperparameters"
] | [
"TAGS\n#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us \n",
"# PPO Agent Playing LunarLander-v2\n\n This is a trained model of a PPO agent playing LunarLander-v2.\n \n # Hyperparameters"
] | [
42,
32
] | [
"TAGS\n#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us \n# PPO Agent Playing LunarLander-v2\n\n This is a trained model of a PPO agent playing LunarLander-v2.\n \n # Hyperparameters"
] |
object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet50_finetuned_nganimalsceneactivitydetv1_session23
This model was trained from scratch on an unknown dataset.
## Mode... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "detr-resnet50_finetuned_nganimalsceneactivitydetv1_session23", "results": []}]} | nsugianto/detr-resnet50_finetuned_nganimalsceneactivitydetv1_session23 | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:55:24+00:00 | [] | [] | TAGS
#transformers #safetensors #detr #object-detection #generated_from_trainer #endpoints_compatible #region-us
|
# detr-resnet50_finetuned_nganimalsceneactivitydetv1_session23
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
"# detr-resnet50_finetuned_nganimalsceneactivitydetv1_session23\n\nThis model was trained from scratch on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Tr... | [
"TAGS\n#transformers #safetensors #detr #object-detection #generated_from_trainer #endpoints_compatible #region-us \n",
"# detr-resnet50_finetuned_nganimalsceneactivitydetv1_session23\n\nThis model was trained from scratch on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intende... | [
29,
37,
7,
9,
9,
4,
102,
40
] | [
"TAGS\n#transformers #safetensors #detr #object-detection #generated_from_trainer #endpoints_compatible #region-us \n# detr-resnet50_finetuned_nganimalsceneactivitydetv1_session23\n\nThis model was trained from scratch on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limitatio... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# L1-classifier-Synonyms
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-case... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "L1-classifier-Synonyms", "results": []}]} | Zlovoblachko/L1-classifier-Synonyms | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:55:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| L1-classifier-Synonyms
======================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5781
* Accuracy: 0.6822
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... | [
59,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | vessl/insurance-mistral-7b-qlora-adapter | null | [
"transformers",
"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:56:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n... | [
30,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: ... |
text-generation | transformers |
# Unmixtraled 22B expert 2
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mix... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-expert-2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mixtral",
"dense",
"expert",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:57:13+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Unmixtraled 22B expert 2
========================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-v0.1.
The mode... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 2.75bpw
This is a 2.75bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work ... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_2.75bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T02:57:49+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| miqu-1-70b-sf - EXL2 2.75bpw
============================
This is a 2.75bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is th... | [
47,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the scri... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# L1-classifier-CopExp
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "L1-classifier-CopExp", "results": []}]} | Zlovoblachko/L1-classifier-CopExp | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T02:58:11+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| L1-classifier-CopExp
====================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3605
* Accuracy: 0.8664
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... | [
59,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# L1-classifier-Transliteration
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "L1-classifier-Transliteration", "results": []}]} | Zlovoblachko/L1-classifier-Transliteration | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:00:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| L1-classifier-Transliteration
=============================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2100
* Accuracy: 0.9227
Model description
-----------------
More information needed
Intended uses & li... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... | [
59,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
null | null |
how to use model with gpt4all
import pandas as pd
from datasets import load_dataset
import re
csv_file = "/Users/admin/Downloads/GPT4_output_GPT-2_training_df.csv"
# Load the dataset
dataset = load_dataset("csv", data_files=csv_file, split="train")
def stop_on_token_callback(token_id, token_string):
# one sente... | {"license": "mit"} | superdrew100/mistral_7b_quotation_attribution | null | [
"license:mit",
"region:us"
] | null | 2024-04-11T03:00:14+00:00 | [] | [] | TAGS
#license-mit #region-us
|
how to use model with gpt4all
import pandas as pd
from datasets import load_dataset
import re
csv_file = "/Users/admin/Downloads/GPT4_output_GPT-2_training_df.csv"
# Load the dataset
dataset = load_dataset("csv", data_files=csv_file, split="train")
def stop_on_token_callback(token_id, token_string):
# one sente... | [
"# Load the dataset\ndataset = load_dataset(\"csv\", data_files=csv_file, split=\"train\")\n\ndef stop_on_token_callback(token_id, token_string):\n # one sentence is enough:\n if '<eos>' in token_string:\n return False\n else:\n return True\n\nalpaca_prompt = \"\"\"Below is an instruction tha... | [
"TAGS\n#license-mit #region-us \n",
"# Load the dataset\ndataset = load_dataset(\"csv\", data_files=csv_file, split=\"train\")\n\ndef stop_on_token_callback(token_id, token_string):\n # one sentence is enough:\n if '<eos>' in token_string:\n return False\n else:\n return True\n\nalpaca_prom... | [
9,
112,
17,
7,
97,
44,
8,
130
] | [
"TAGS\n#license-mit #region-us \n# Load the dataset\ndataset = load_dataset(\"csv\", data_files=csv_file, split=\"train\")\n\ndef stop_on_token_callback(token_id, token_string):\n # one sentence is enough:\n if '<eos>' in token_string:\n return False\n else:\n return True\n\nalpaca_prompt = \... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 2.5bpw
This is a 2.5bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_2.5bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T03:01:40+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| miqu-1-70b-sf - EXL2 2.5bpw
===========================
This is a 2.5bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is th... | [
47,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the scri... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0410MP3_neo
This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-2.7B", "model-index": [{"name": "V0410MP3_neo", "results": []}]} | Litzy619/V0410MP3_neo | null | [
"safetensors",
"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-2.7B",
"license:mit",
"region:us"
] | null | 2024-04-11T03:03:19+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-EleutherAI/gpt-neo-2.7B #license-mit #region-us
| V0410MP3\_neo
=============
This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 11.4224
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#safetensors #generated_from_trainer #base_model-EleutherAI/gpt-neo-2.7B #license-mit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_acc... | [
38,
160,
5,
47
] | [
"TAGS\n#safetensors #generated_from_trainer #base_model-EleutherAI/gpt-neo-2.7B #license-mit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulat... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [tomaszki/stablelm-22](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-22", "coffie3/sx8"]} | Sumail/Barista51 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:tomaszki/stablelm-22",
"base_model:coffie3/sx8",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:05:04+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-tomaszki/stablelm-22 #base_model-coffie3/sx8 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* tomaszki/stablelm-22
* coffie3/sx8
### Configuration
The following YAML configu... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* tomaszki/stablelm-22\n* coffie3/sx8",
"### Configurati... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-tomaszki/stablelm-22 #base_model-coffie3/sx8 #autotrain_compatible #endpoints_compatible #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Detail... | [
61,
17,
4,
17,
31,
16
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-tomaszki/stablelm-22 #base_model-coffie3/sx8 #autotrain_compatible #endpoints_compatible #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### Merge M... |
text-generation | transformers |
# miqu-1-70b-sf - EXL2 2.25bpw
This is a 2.25bpw EXL2 quant of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work ... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "tags": ["exl2"]} | Dracones/miqu-1-70b-sf_exl2_2.25bpw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"exl2",
"conversational",
"en",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T03:05:18+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| miqu-1-70b-sf - EXL2 2.25bpw
============================
This is a 2.25bpw EXL2 quant of 152334H/miqu-1-70b-sf
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is th... | [
47,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #exl2 #conversational #en #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the scri... |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - mj96/fine-tuned-runwayml-sd-v1-5-lora-d2
These are LoRA adaption weights for runwayml/stab... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/... | mj96/fine-tuned-runwayml-sd-v1-5-lora-d2 | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"diffusers-training",
"lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-11T03:07:53+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - mj96/fine-tuned-runwayml-sd-v1-5-lora-d2
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the mj96/dutch_golden_age_resized_brime dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
## Intended... | [
"# LoRA text2image fine-tuning - mj96/fine-tuned-runwayml-sd-v1-5-lora-d2\nThese are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the mj96/dutch_golden_age_resized_brime dataset. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3",
"##... | [
"TAGS\n#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us \n",
"# LoRA text2image fine-tuning - mj96/fine-tuned-runwayml-sd-v1-5-lora-d2\nThese are LoRA adaption weights... | [
63,
112,
6,
7,
23,
17
] | [
"TAGS\n#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us \n# LoRA text2image fine-tuning - mj96/fine-tuned-runwayml-sd-v1-5-lora-d2\nThese are LoRA adaption weights for r... |
object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | DeclanBracken/detr-finetuned-transcript-table-transformer_v2 | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:08:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #detr #object-detection #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #detr #object-detection #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatical... | [
33,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #detr #object-detection #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n-... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | rainerberger/planetn1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"trl",
"sft",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-11T03:12:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model t... | [
54,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushe... |
feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mike0307/text2vec-base-multilingual | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:12:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been au... | [
35,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically genera... |
text-generation | transformers |
# Unmixtraled 22B expert 3
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mix... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-expert-3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mixtral",
"dense",
"expert",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T03:12:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Unmixtraled 22B expert 3
========================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-v0.1.
The mode... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-reasoning-7b
This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on the ... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-7b-it", "model-index": [{"name": "gemma-reasoning-7b", "results": []}]} | PasinduProjects/gemma-reasoning-7b | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-7b-it",
"license:gemma",
"region:us"
] | null | 2024-04-11T03:13:30+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b-it #license-gemma #region-us
|
# gemma-reasoning-7b
This model is a fine-tuned version of google/gemma-7b-it on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
"# gemma-reasoning-7b\n\nThis model is a fine-tuned version of google/gemma-7b-it on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"#... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b-it #license-gemma #region-us \n",
"# gemma-reasoning-7b\n\nThis model is a fine-tuned version of google/gemma-7b-it on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses &... | [
44,
30,
7,
9,
9,
4,
102,
5,
55
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b-it #license-gemma #region-us \n# gemma-reasoning-7b\n\nThis model is a fine-tuned version of google/gemma-7b-it on the None dataset.## Model description\n\nMore information needed## Intended uses & limitations\n\nMo... |
null | transformers |
# DavidAU/Tanuki-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Tanuki-7B-v0.1`](https://huggingface.co/NeuralNovel/Tanuki-7B-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggi... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["NeuralNovel/Neural-Story-v1", "NeuralNovel/Creative-Logic-v1"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": false, "model-index": [{"name": "Tanuki-7B-v0.1", "results": [{"task": {"type": ... | DavidAU/Tanuki-7B-v0.1-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:NeuralNovel/Neural-Story-v1",
"dataset:NeuralNovel/Creative-Logic-v1",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T03:13:40+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Neural-Story-v1 #dataset-NeuralNovel/Creative-Logic-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us
|
# DavidAU/Tanuki-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Tanuki-7B-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Not... | [
"# DavidAU/Tanuki-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Tanuki-7B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Neural-Story-v1 #dataset-NeuralNovel/Creative-Logic-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Tanuki-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralN... | [
88,
81,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Neural-Story-v1 #dataset-NeuralNovel/Creative-Logic-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us \n# DavidAU/Tanuki-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/T... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_buff66e4_v2 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T03:14:53+00:00 | [] | [] | TAGS
#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
"# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-trained agents included.",
"#... | [
"TAGS\n#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework fo... | [
33,
73,
76,
10,
6,
3
] | [
"TAGS\n#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stab... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-cnn-samsum-finetuned
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-l... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-cnn-samsum-finetuned", "results": []}]} | potradovec/bart-cnn-samsum-finetuned | null | [
"transformers",
"tensorboard",
"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-large-cnn",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:16:10+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bart-cnn-samsum-finetuned
=========================
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2177
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 15",
"### Trainin... | [
"TAGS\n#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learnin... | [
54,
101,
5,
42
] | [
"TAGS\n#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_ra... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Rudolph314/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T03:16:16+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo... | [
37,
81,
76,
10,
6,
3
] | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.