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# DavidAU/Buttocks-7B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from [`TeeZee/Buttocks-7B-v1.0`](https://huggingface.co/TeeZee/Buttocks-7B-v1.0) 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://huggingfa... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "merge", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "Buttocks-7B-v1.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challe... | DavidAU/Buttocks-7B-v1.0-Q8_0-GGUF | null | [
"gguf",
"not-for-all-audiences",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"model-index",
"region:us"
] | null | 2024-04-14T01:34:09+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #merge #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #model-index #region-us
|
# DavidAU/Buttocks-7B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from 'TeeZee/Buttocks-7B-v1.0' 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/Buttocks-7B-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'TeeZee/Buttocks-7B-v1.0' 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:\... | [
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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"} | suneeln-duke/duke_only_qa_v2 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-14T01:37:35+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... | [
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null | null |
# DavidAU/Mistral-22B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-22B-v0.1`](https://huggingface.co/Vezora/Mistral-22B-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://huggingfa... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Mistral-22B-v0.1-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T01:40:38+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Mistral-22B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-22B-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/Mistral-22B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-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#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
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"## Use with URL\... | [
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text-generation | transformers |
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model s... | {"license": "other", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/Tested-22k-Python-Alpaca", "mattpscott/airoboros-sum... | blockblockblock/airoboros-34b-3.3-bpw4 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-3.2",
"dataset:bluemoon-fandom-1-1-rp-cleaned",
"dataset:boolq",
"dataset:jondurbin/gutenberg-dpo-v0.1",
"dataset:LDJnr/Capybara",
"dataset:jondurbin/cinematika-v0.1",
"dataset:glaiveai/glaive-function-callin... | null | 2024-04-14T01:42:06+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #dataset-jondurbin/airoboros-3.2 #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #dataset-jondurbin/gutenberg-dpo-v0.1 #dataset-LDJnr/Capybara #dataset-jondurbin/cinematika-v0.1 #dataset-glaiveai/glaive-function-calling-v2 #dataset-grimulkan/LimaRP-augmente... |
### Overview
Another experimental model, using mostly sythetic data generated by airoboros
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model supports 200k context size, this model was ... | [
"### Overview\n\nAnother experimental model, using mostly sythetic data generated by airoboros\n\nThis fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.",
"#### Highlights\n\nThis is using yi-34b-200k as the base model. While the base model supports 200k context size, t... | [
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text-to-image | diffusers |
# Dreamlike Diffusion
768x768 version of this model with the 840KVAE baked in for improved details, specially on the eyes. Original page: https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0
Comparison:

Samples and prompts:
!Free online AI text to image generator samples
(Click ... | [
"# Dreamlike Diffusion\n\n768x768 version of this model with the 840KVAE baked in for improved details, specially on the eyes. Original page: URL\n\nComparison:\n\n!Free online AI image generator Dreamlike Diffusion comparison\n\n(Click for larger)\n\nSamples and prompts:\n\n!Free online AI text to image generator ... | [
"TAGS\n#diffusers #safetensors #art #artistic #DreamlikeArt #stable-diffusion #stable-diffusion-diffusers #text-to-image #en #license-other #has_space #diffusers-StableDiffusionPipeline #region-us \n",
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sentence-similarity | sentence-transformers |
# Santp98/SBERT-pairs-distilbert-base-spanish-uncased
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformer... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["Santp98/query_generated-title-secop2"], "pipeline_tag": "sentence-similarity"} | Santp98/SBERT-pairs-distilbert-base-spanish-uncased | null | [
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"endpoints_compatible",
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#sentence-transformers #safetensors #distilbert #feature-extraction #sentence-similarity #transformers #dataset-Santp98/query_generated-title-secop2 #endpoints_compatible #region-us
|
# Santp98/SBERT-pairs-distilbert-base-spanish-uncased
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-tr... | [
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null | null |
# DavidAU/Mistral-22B-v0.2-Q6_K-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-22B-v0.2`](https://huggingface.co/Vezora/Mistral-22B-v0.2) 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://huggingfa... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Mistral-22B-v0.2-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T01:47:45+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Mistral-22B-v0.2-Q6_K-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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/Mistral-22B-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# arcee-ai/PMC_LLaMA_Vicuna_13B_Slerp
arcee-ai/PMC_LLaMA_Vicuna_13B_Slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [axiong/PMC_LLaMA_13B](https://huggingface.co/axiong/PMC_LLaMA_13B)
* [lmsys/vicuna-13b-v1.3](https://huggingface.co/lmsys/vicuna-13b-v1.3)
## 🧩 Configu... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "axiong/PMC_LLaMA_13B", "lmsys/vicuna-13b-v1.3"]} | arcee-ai/PMC_LLaMA_Vicuna_13B_Slerp | null | [
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"llama",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T01:48:10+00:00 | [] | [] | TAGS
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|
# arcee-ai/PMC_LLaMA_Vicuna_13B_Slerp
arcee-ai/PMC_LLaMA_Vicuna_13B_Slerp is a merge of the following models using mergekit:
* axiong/PMC_LLaMA_13B
* lmsys/vicuna-13b-v1.3
## Configuration
| [
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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"} | HarshaniMadhushaniBandara/Final_llama2-7B-learning_rate_2e-5 | null | [
"peft",
"region:us"
] | null | 2024-04-14T01:50:06+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... | [
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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. -->
# duckdb-text-to-sql
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the genera... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "duckdb-text-to-sql", "results": []}]} | kyryl-opens-ml/duckdb-text-to-sql | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:google/gemma-2b",
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|
# duckdb-text-to-sql
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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text-generation | transformers | # Fireblossom-32K-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
For this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "cgato/TheSpice-7b-v0.1.1", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "SanjiWatsuki/Kunoichi-7B", "mistralai/Mistral-7B-v0.1"], "pipeline_tag": "text-generation"} | grimjim/fireblossom-32K-7B | null | [
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"base_model:mistralai/Mis... | null | 2024-04-14T02:00:25+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
For this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K to 100K. With the original (true) bas... | [
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text-generation | transformers | # Fireblossom-32K-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
For this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "cgato/TheSpice-7b-v0.1.1", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "SanjiWatsuki/Kunoichi-7B", "mistralai/Mistral-7B-v0.1"], "pipeline_tag": "text-generation"} | grimjim/fireblossom-32K-7B-GGUF | null | [
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"li... | null | 2024-04-14T02:00:52+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
For this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K to 100K. With the original (true) bas... | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | grantlisby/krabs | null | [
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] | null | 2024-04-14T02:01:06+00:00 | [
"1910.09700"
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#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
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text-generation | transformers | # Fireblossom-32K-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
For this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "cgato/TheSpice-7b-v0.1.1", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "SanjiWatsuki/Kunoichi-7B", "mistralai/Mistral-7B-v0.1"], "pipeline_tag": "text-generation"} | grimjim/fireblossom-32K-7B-8.0bpw_h8_exl2 | null | [
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"base_model:mistralai/Mis... | null | 2024-04-14T02:01:35+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
For this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K to 100K. With the original (true) bas... | [
"# Fireblossom-32K-7B\n\nThis is a merge of pre-trained language models created using mergekit.\n\nFor this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K to 100K. With the original (... | [
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null | null |
# DavidAU/Agent-7b-v1-128k-Q6_K-GGUF
This model was converted to GGUF format from [`Vezora/Agent-7b-v1-128k`](https://huggingface.co/Vezora/Agent-7b-v1-128k) 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://huggingfa... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["m-a-p/Code-Feedback"]} | DavidAU/Agent-7b-v1-128k-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:m-a-p/Code-Feedback",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T02:04:11+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-m-a-p/Code-Feedback #license-apache-2.0 #region-us
|
# DavidAU/Agent-7b-v1-128k-Q6_K-GGUF
This model was converted to GGUF format from 'Vezora/Agent-7b-v1-128k' 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/Agent-7b-v1-128k-Q6_K-GGUF\nThis model was converted to GGUF format from 'Vezora/Agent-7b-v1-128k' 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:\... | [
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null | null |
# DavidAU/Narwhal-7b-v3-Q6_K-GGUF
This model was converted to GGUF format from [`Vezora/Narwhal-7b-v3`](https://huggingface.co/Vezora/Narwhal-7b-v3) 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.co/Vez... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Narwhal-7b-v3-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T02:05:15+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Narwhal-7b-v3-Q6_K-GGUF
This model was converted to GGUF format from 'Vezora/Narwhal-7b-v3' 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: You ... | [
"# DavidAU/Narwhal-7b-v3-Q6_K-GGUF\nThis model was converted to GGUF format from 'Vezora/Narwhal-7b-v3' 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\n\... | [
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null | null |
These are gguf quants of a 41B Prune of Tess 70B. | {"license": "apache-2.0", "base_model": "Mihaiii/Covasna-0.1"} | nisten/covasna-0.1-imatrix-gguf | null | [
"gguf",
"base_model:Mihaiii/Covasna-0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T02:06:34+00:00 | [] | [] | TAGS
#gguf #base_model-Mihaiii/Covasna-0.1 #license-apache-2.0 #region-us
|
These are gguf quants of a 41B Prune of Tess 70B. | [] | [
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null | null |
# DavidAU/Mistral-14b-Merge-Base-Q6_K-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-14b-Merge-Base`](https://huggingface.co/Vezora/Mistral-14b-Merge-Base) 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]... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Mistral-14b-Merge-Base-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T02:06:54+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Mistral-14b-Merge-Base-Q6_K-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-14b-Merge-Base' 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:
Ser... | [
"# DavidAU/Mistral-14b-Merge-Base-Q6_K-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-14b-Merge-Base' 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 C... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# DavidAU/Mistral-14b-Merge-Base-Q6_K-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-14b-Merge-Base' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## U... | [
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text-generation | transformers | # Model Card
## Summary
h2o-danube2-1.8b-chat is a chat fine-tuned model by H2O.ai with 1.8 billion parameters. We release three versions of this model:
| Model Name | Description |
|:----------------------------------------------------------... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "pipeline_tag": "text-generation"} | jncraton/h2o-danube2-1.8b-chat-ct2-int8 | null | [
"transformers",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"text-generation",
"conversational",
"en",
"arxiv:2401.16818",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:07:57+00:00 | [
"2401.16818"
] | [
"en"
] | TAGS
#transformers #gpt #llm #large language model #h2o-llmstudio #text-generation #conversational #en #arxiv-2401.16818 #license-apache-2.0 #endpoints_compatible #region-us
| Model Card
==========
Summary
-------
h2o-danube2-1.8b-chat is a chat fine-tuned model by URL with 1.8 billion parameters. We release three versions of this model:
This model was trained using H2O LLM Studio.
Model Architecture
------------------
We adjust the Llama 2 architecture for a total of around 1.8b ... | [
"### Open LLM Leaderboard",
"### MT-Bench\n\n\n!image/png\n\n\nDisclaimer\n----------\n\n\nPlease read this disclaimer carefully before using the large language model provided in this repository. Your use of the model signifies your agreement to the following terms and conditions.\n\n\n* Biases and Offensiveness:... | [
"TAGS\n#transformers #gpt #llm #large language model #h2o-llmstudio #text-generation #conversational #en #arxiv-2401.16818 #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Open LLM Leaderboard",
"### MT-Bench\n\n\n!image/png\n\n\nDisclaimer\n----------\n\n\nPlease read this disclaimer carefully be... | [
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text-generation | transformers |
[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il/dicta-lm)
# Model Card for DictaLM-2.0-Instruct
The DictaLM-2.0-Instruct Large Language Model (LLM) is an instruct fine-tuned version of the [DictaLM-2.0](https://huggingface.co/dicta-il/dictalm2.0) generative model using a va... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["instruction-tuned"], "pipeline_tag": "text-generation", "base_model": "dicta-il/dictalm2.0", "inference": false} | dicta-il/dictalm2.0-instruct-GPTQ | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"instruction-tuned",
"conversational",
"en",
"he",
"base_model:dicta-il/dictalm2.0",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-14T02:12:23+00:00 | [] | [
"en",
"he"
] | TAGS
#transformers #safetensors #mistral #text-generation #instruction-tuned #conversational #en #he #base_model-dicta-il/dictalm2.0 #license-apache-2.0 #autotrain_compatible #text-generation-inference #4-bit #region-us
|
<img src="https://i.URL width="300px"/>
# Model Card for DictaLM-2.0-Instruct
The DictaLM-2.0-Instruct Large Language Model (LLM) is an instruct fine-tuned version of the DictaLM-2.0 generative model using a variety of conversation datasets.
For full details of this model please read our release blog post.
This m... | [
"# Model Card for DictaLM-2.0-Instruct\n\nThe DictaLM-2.0-Instruct Large Language Model (LLM) is an instruct fine-tuned version of the DictaLM-2.0 generative model using a variety of conversation datasets.\n\nFor full details of this model please read our release blog post.\n\nThis model contains the GPTQ 4-bit qua... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #instruction-tuned #conversational #en #he #base_model-dicta-il/dictalm2.0 #license-apache-2.0 #autotrain_compatible #text-generation-inference #4-bit #region-us \n",
"# Model Card for DictaLM-2.0-Instruct\n\nThe DictaLM-2.0-Instruct Large Language Model... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #instruction-tuned #conversational #en #he #base_model-dicta-il/dictalm2.0 #license-apache-2.0 #autotrain_compatible #text-generation-inference #4-bit #region-us \n# Model Card for DictaLM-2.0-Instruct\n\nThe DictaLM-2.0-Instruct Large Language Model (LLM)... |
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. -->
# sft_cml5
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "sft_cml5", "results": []}]} | Peachman/sft_cml5 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T02:15:28+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# sft_cml5
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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 hyperparameters
Th... | [
"# sft_cml5\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# sft_cml5\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
"## Model description\n\nMore information needed",
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image-classification | null |
## Model Architecture Details
### Architecture Overview
- **Architecture**: ViT Tiny
### Configuration
| Attribute | Value |
|----------------------|----------------|
| Patch Size | 16 |
| Image Size | 224 |
| Num Layers | 1 |
| ... | {"datasets": ["imagenet-1k"], "pipeline_tag": "image-classification"} | Prisma-Multimodal/ImageNet-Tiny-AttentionOnly-Patch16 | null | [
"image-classification",
"dataset:imagenet-1k",
"region:us"
] | null | 2024-04-14T02:18:41+00:00 | [] | [] | TAGS
#image-classification #dataset-imagenet-1k #region-us
| Model Architecture Details
--------------------------
### Architecture Overview
* Architecture: ViT Tiny
### Configuration
### Performance
* Validation Accuracy (Top 5): 0.25
* Validation Accuracy: 0.11
### Additional Resources
The model was trained using the library: ViT-Prisma.
For detailed metrics,... | [
"### Architecture Overview\n\n\n* Architecture: ViT Tiny",
"### Configuration",
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistrala... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["gagan3012/Mistral_arabic_dpo", "mistralai/Mistral-7B-Instruct-v0.2", "Nexusflow/Starling-LM-7B-beta"]} | mergekit-community/mergekit-model_stock-qykbest | null | [
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"safetensors",
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"text-generation",
"mergekit",
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"arxiv:2403.19522",
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"base_model:Nexusflow/Starling-LM-7B-beta",
"autotrain_compatible",
"endpoints_c... | null | 2024-04-14T02:21:52+00:00 | [
"2403.19522"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #arxiv-2403.19522 #base_model-gagan3012/Mistral_arabic_dpo #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-Nexusflow/Starling-LM-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 Model Stock merge method using mistralai/Mistral-7B-Instruct-v0.2 as a base.
### Models Merged
The following models were included in the merge:
* gagan3012/Mistral_arabic... | [
"# 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 Model Stock merge method using mistralai/Mistral-7B-Instruct-v0.2 as a base.",
"### Models Merged\n\nThe following models were included in the merge:\n*... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/yingbei/rubra-11h-orpo
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "library_name": "transformers", "base_model": "yingbei/rubra-11h-orpo", "quantized_by": "mradermacher"} | mradermacher/rubra-11h-orpo-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:yingbei/rubra-11h-orpo",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:25:49+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-yingbei/rubra-11h-orpo #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 #en #base_model-yingbei/rubra-11h-orpo #endpoints_compatible #region-us \n"
] | [
34
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"TAGS\n#transformers #gguf #en #base_model-yingbei/rubra-11h-orpo #endpoints_compatible #region-us \n"
] |
null | transformers |
# DavidAU/Cerebrum-1.0-12.25B-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Cerebrum-1.0-12.25B`](https://huggingface.co/Joseph717171/Cerebrum-1.0-12.25B) 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 ca... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": []} | DavidAU/Cerebrum-1.0-12.25B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:26:34+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Cerebrum-1.0-12.25B-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Cerebrum-1.0-12.25B' 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:
Ser... | [
"# DavidAU/Cerebrum-1.0-12.25B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Cerebrum-1.0-12.25B' 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 C... | [
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null | transformers |
# DavidAU/BigYi-15.75B-200k-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/BigYi-15.75B-200k`](https://huggingface.co/Joseph717171/BigYi-15.75B-200k) 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](ht... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": [], "license_name": "yi-license", "license_link": "LICENSE"} | DavidAU/BigYi-15.75B-200k-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:28:52+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-other #endpoints_compatible #region-us
|
# DavidAU/BigYi-15.75B-200k-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/BigYi-15.75B-200k' 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/BigYi-15.75B-200k-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/BigYi-15.75B-200k' 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.\... | [
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"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-other #endpoints_compatible #region-us \n# DavidAU/BigYi-15.75B-200k-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/BigYi-15.75B-200k' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card fo... |
null | transformers |
# DavidAU/SOLAR-19.2B-Instruct-v1.0-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/SOLAR-19.2B-Instruct-v1.0`](https://huggingface.co/Joseph717171/SOLAR-19.2B-Instruct-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the ... | {"language": ["en"], "license": "cc", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "datasets": ["c-s-ale/alpaca-gpt4-data", "Open-Orca/OpenOrca", "Intel/orca_dpo_pairs", "allenai/ultrafeedback_binarized_cleaned"], "base_model": []} | DavidAU/SOLAR-19.2B-Instruct-v1.0-Q6_K-GGUF | null | [
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"dataset:Open-Orca/OpenOrca",
"dataset:Intel/orca_dpo_pairs",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:cc",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:33:25+00:00 | [] | [
"en"
] | TAGS
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|
# DavidAU/SOLAR-19.2B-Instruct-v1.0-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/SOLAR-19.2B-Instruct-v1.0' 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.
... | [
"# DavidAU/SOLAR-19.2B-Instruct-v1.0-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/SOLAR-19.2B-Instruct-v1.0' 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 ser... | [
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"# DavidAU/SOLAR-19.2B-Instruct-v1.0-Q6_K-GGUF\nTh... | [
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"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #en #dataset-c-s-ale/alpaca-gpt4-data #dataset-Open-Orca/OpenOrca #dataset-Intel/orca_dpo_pairs #dataset-allenai/ultrafeedback_binarized_cleaned #license-cc #endpoints_compatible #region-us \n# DavidAU/SOLAR-19.2B-Instruct-v1.0-Q6_K-GGUF\nThis mod... |
text-generation | transformers |
[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
# Model Card for DictaLM-2.0-Instruct
The DictaLM-2.0-Instruct Large Language Model (LLM) is an instruct fine-tuned version of the [DictaLM-2.0](https://huggingface.co/dicta-il/dictalm2.0) generative model using a variety of ... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["instruction-tuned"], "pipeline_tag": "text-generation", "base_model": "dicta-il/dictalm2.0", "inference": {"parameters": {"temperature": 0.7}}} | dicta-il/dictalm2.0-instruct | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"instruction-tuned",
"conversational",
"en",
"he",
"base_model:dicta-il/dictalm2.0",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T02:35:16+00:00 | [] | [
"en",
"he"
] | TAGS
#transformers #safetensors #mistral #text-generation #instruction-tuned #conversational #en #he #base_model-dicta-il/dictalm2.0 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
<img src="https://i.URL width="300px"/>
# Model Card for DictaLM-2.0-Instruct
The DictaLM-2.0-Instruct Large Language Model (LLM) is an instruct fine-tuned version of the DictaLM-2.0 generative model using a variety of conversation datasets.
For full details of this model please read our release blog post.
This i... | [
"# Model Card for DictaLM-2.0-Instruct\n\nThe DictaLM-2.0-Instruct Large Language Model (LLM) is an instruct fine-tuned version of the DictaLM-2.0 generative model using a variety of conversation datasets.\n\nFor full details of this model please read our release blog post.\n\nThis is the instruct-tuned full-precis... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #instruction-tuned #conversational #en #he #base_model-dicta-il/dictalm2.0 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
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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": []} | abhayesian/BobzillaV18 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"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... | [
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text-generation | transformers |
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model s... | {"license": "other", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/Tested-22k-Python-Alpaca", "mattpscott/airoboros-sum... | blockblockblock/airoboros-34b-3.3-bpw4.2 | null | [
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"dataset:LDJnr/Capybara",
"dataset:jondurbin/cinematika-v0.1",
"dataset:glaiveai/glaive-function-callin... | null | 2024-04-14T02:35:29+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #dataset-jondurbin/airoboros-3.2 #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #dataset-jondurbin/gutenberg-dpo-v0.1 #dataset-LDJnr/Capybara #dataset-jondurbin/cinematika-v0.1 #dataset-glaiveai/glaive-function-calling-v2 #dataset-grimulkan/LimaRP-augmente... |
### Overview
Another experimental model, using mostly sythetic data generated by airoboros
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model supports 200k context size, this model was ... | [
"### Overview\n\nAnother experimental model, using mostly sythetic data generated by airoboros\n\nThis fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.",
"#### Highlights\n\nThis is using yi-34b-200k as the base model. While the base model supports 200k context size, t... | [
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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": []} | BrandonM001/bert-finetuned-ner4_7 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:35:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #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)... | [
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image-classification | null |
## Model Architecture Details
### Architecture Overview
- **Architecture**: ViT Tiny
### Configuration
| Attribute | Value |
|----------------------|----------------|
| Patch Size | 16 |
| Image Size | 224 |
| Num Layers | 1 |
| ... | {"datasets": ["imagenet-1k"], "pipeline_tag": "image-classification"} | Prisma-Multimodal/ImageNet-Tiny-Attention-and-MLP-Patch16 | null | [
"image-classification",
"dataset:imagenet-1k",
"region:us"
] | null | 2024-04-14T02:37:18+00:00 | [] | [] | TAGS
#image-classification #dataset-imagenet-1k #region-us
| Model Architecture Details
--------------------------
### Architecture Overview
* Architecture: ViT Tiny
### Configuration
### Performance
* Validation Accuracy (Top 5): 0.33
* Validation Accuracy: 0.16
### Additional Resources
The model was trained using the library: ViT-Prisma.
For detailed metrics,... | [
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null | transformers |
# DavidAU/Hermes-2-Pro-Mistral-10.7B-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Hermes-2-Pro-Mistral-10.7B`](https://huggingface.co/Joseph717171/Hermes-2-Pro-Mistral-10.7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to t... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "Mistral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "llama-cpp", "gguf-my-repo"], "datasets": ["teknium/OpenHermes-2.5"], "base_m... | DavidAU/Hermes-2-Pro-Mistral-10.7B-Q6_K-GGUF | null | [
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"json mode",
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"dataset:teknium/OpenHermes-2.5",
"base_model:mistralai/Mistral... | null | 2024-04-14T02:39:39+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #Mistral #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #function calling #json mode #llama-cpp #gguf-my-repo #en #dataset-teknium/OpenHermes-2.5 #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Hermes-2-Pro-Mistral-10.7B-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Hermes-2-Pro-Mistral-10.7B' 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... | [
"# DavidAU/Hermes-2-Pro-Mistral-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Hermes-2-Pro-Mistral-10.7B' 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 s... | [
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text-generation | null |
## Exllama v2 Quantizations of Mistral-22B-v0.2
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contai... | {"license": "apache-2.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Mistral-22B-v0.2-exl2 | null | [
"text-generation",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T02:40:40+00:00 | [] | [] | TAGS
#text-generation #license-apache-2.0 #region-us
| Exllama v2 Quantizations of Mistral-22B-v0.2
--------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.18 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the ma... | [] | [
"TAGS\n#text-generation #license-apache-2.0 #region-us \n"
] | [
17
] | [
"TAGS\n#text-generation #license-apache-2.0 #region-us \n"
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null | transformers |
# DavidAU/Mistral-12.25B-Instruct-v0.2-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Mistral-12.25B-Instruct-v0.2`](https://huggingface.co/Joseph717171/Mistral-12.25B-Instruct-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refe... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": []} | DavidAU/Mistral-12.25B-Instruct-v0.2-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:41:19+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Mistral-12.25B-Instruct-v0.2-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Mistral-12.25B-Instruct-v0.2' 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... | [
"# DavidAU/Mistral-12.25B-Instruct-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Mistral-12.25B-Instruct-v0.2' 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 U... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us \n",
"# DavidAU/Mistral-12.25B-Instruct-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Mistral-12.25B-Instruct-v0.2' using URL via the URL's GGUF-my-repo space.\nRe... | [
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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": []} | JayBDev/code-search-net-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:41:57+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #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)... | [
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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": []} | simonamdev/openai-whisper-base-mt-PeftType.LORA | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"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",
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null | transformers |
# DavidAU/Mistral-12.25B-v0.2-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Mistral-12.25B-v0.2`](https://huggingface.co/Joseph717171/Mistral-12.25B-v0.2) 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 ca... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": []} | DavidAU/Mistral-12.25B-v0.2-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:43:11+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Mistral-12.25B-v0.2-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Mistral-12.25B-v0.2' 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:
Ser... | [
"# DavidAU/Mistral-12.25B-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Mistral-12.25B-v0.2' 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 C... | [
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null | transformers | DPO-Finetune of CultriX/MonaCeption-7B-SLERP using CultriX/dpo-mix-ambrosia-cleaned
---
base_model:
- CultriX/MonaTrix-v4
- CultriX/MergeCeption-7B-v3
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://gi... | {"license": "apache-2.0", "tags": ["gguf"]} | CultriX/MonaCeption-7B-SLERP-DPO | null | [
"transformers",
"safetensors",
"gguf",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T02:44:21+00:00 | [] | [] | TAGS
#transformers #safetensors #gguf #endpoints_compatible #region-us
| DPO-Finetune of CultriX/MonaCeption-7B-SLERP using CultriX/dpo-mix-ambrosia-cleaned
---
base_model:
- CultriX/MonaTrix-v4
- CultriX/MergeCeption-7B-v3
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# merge
This is a merge of pre-trained language models created using mergekit.
## Merge D... | [
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null | transformers |
# DavidAU/Genstruct-10.7B-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Genstruct-10.7B`](https://huggingface.co/Joseph717171/Genstruct-10.7B) 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://... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Mistral", "instruct", "finetune", "synthetic", "mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mistral-7B-v0.1"} | DavidAU/Genstruct-10.7B-Q6_K-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
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|
# DavidAU/Genstruct-10.7B-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Genstruct-10.7B' 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:
... | [
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text-generation | transformers | Capybara 34B + Limarp | {} | alkahestry/Capybara-RP | null | [
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"llama",
"text-generation",
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"endpoints_compatible",
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"region:us"
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#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Capybara 34B + Limarp | [] | [
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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": []} | paulo037/checkpoint-30 | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #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.
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sentence-similarity | sentence-transformers |
# Santp98/SBERT-pairs-distilbert-base-spanish-uncased-2023-11-13-18-01
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sen... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["Santp98/query_generated-title-secop2"], "pipeline_tag": "sentence-similarity"} | Santp98/SBERT-pairs-distilbert-base-spanish-uncased-2023-11-13-18-01 | null | [
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|
# Santp98/SBERT-pairs-distilbert-base-spanish-uncased-2023-11-13-18-01
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you... | [
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image-classification | null |
## Model Architecture Details
### Architecture Overview
- **Architecture**: ViT Base
### Configuration
| Attribute | Value |
|----------------------|----------------|
| Patch Size | 16 |
| Image Size | 224 |
| Num Layers | 2 |
| ... | {"datasets": ["imagenet-1k"], "pipeline_tag": "image-classification"} | Prisma-Multimodal/ImageNet-Base-AttentionOnly-Patch16 | null | [
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#image-classification #dataset-imagenet-1k #region-us
| Model Architecture Details
--------------------------
### Architecture Overview
* Architecture: ViT Base
### Configuration
### Performance
* Validation Accuracy (Top 5): 0.34
* Validation Accuracy: 0.16
### Additional Resources
The model was trained using the library: ViT-Prisma.
For detailed metrics,... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/Toonify_ponyXL | null | [
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## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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null | adapter-transformers |
# Adapter `BigTMiami/CC_double_seq_bn_inv_P_5` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_condensed/) dataset and inclu... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | BigTMiami/CC_double_seq_bn_inv_P_5 | null | [
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|
# Adapter 'BigTMiami/CC_double_seq_bn_inv_P_5' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
First,... | [
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null | null |
<div align="center"><img src="./assets/streaknet_logo.png" width="400"></div><br>
<div align="center"><img src="./assets/overview.jpg"></div>
## Introduction
In this paper, we introduce StreakNet-Arch, a novel signal processing architecture designed for Underwater Carrier LiDAR-Radar (UCLR) imaging systems, to addre... | {"license": "apache-2.0", "frameworks": ["Pytorch"], "tasks": ["underwater laser imaging"]} | Coder-AN/StreakNet-Models | null | [
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|
<div align="center"><img src="./assets/streaknet_logo.png" width="400"></div><br>
<div align="center"><img src="./assets/URL"></div>
## Introduction
In this paper, we introduce StreakNet-Arch, a novel signal processing architecture designed for Underwater Carrier LiDAR-Radar (UCLR) imaging systems, to address the li... | [
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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:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "Locutusque/OpenCerebrum-2.0-7B"]} | hydra-project/CerebrumDolphin-2.0-Mistral-7B-v0.2 | null | [
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| # 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:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
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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": []} | weifar/codegemma-7b-500 | null | [
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null | transformers |
# DavidAU/Cerebrum-1.0-10.7B-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Cerebrum-1.0-10.7B`](https://huggingface.co/Joseph717171/Cerebrum-1.0-10.7B) 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]... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mistral-7B-v0.1"} | DavidAU/Cerebrum-1.0-10.7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:03:46+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Cerebrum-1.0-10.7B-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Cerebrum-1.0-10.7B' 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:
Serve... | [
"# DavidAU/Cerebrum-1.0-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Cerebrum-1.0-10.7B' 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... | [
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"# DavidAU/Cerebrum-1.0-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Cerebrum-1.0-10.7B' using URL via the URL's GGUF-... | [
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null | null | This is for my PBRTextureToHeight ComfyUI workflow
Steps: Installing Comfy Workflow
Prereq: Git for Windows
1. Download models.zip and PBRAlbedoToHeightV1.2.json from Files and versions tab above
2. Install ComfyUI Portable https://github.com/comfyanonymous/ComfyUI/releases/tag/latest, install latest by date, make... | {"license": "apache-2.0"} | NightRaven109/PBRTextureToHeight | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T03:04:45+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| This is for my PBRTextureToHeight ComfyUI workflow
Steps: Installing Comfy Workflow
Prereq: Git for Windows
1. Download URL and PBRAlbedoToHeightV1.2.json from Files and versions tab above
2. Install ComfyUI Portable URL install latest by date, make sure its not an old version
3. Open up Comfy with run_nvidia_gpu... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
13
] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] |
null | transformers |
# DavidAU/Mistral-10.7B-v0.2-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Mistral-10.7B-v0.2`](https://huggingface.co/Joseph717171/Mistral-10.7B-v0.2) 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]... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": []} | DavidAU/Mistral-10.7B-v0.2-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:05:19+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Mistral-10.7B-v0.2-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Mistral-10.7B-v0.2' 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:
Serve... | [
"# DavidAU/Mistral-10.7B-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Mistral-10.7B-v0.2' 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... | [
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"# DavidAU/Mistral-10.7B-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Mistral-10.7B-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original ... | [
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"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us \n# DavidAU/Mistral-10.7B-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Mistral-10.7B-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model ... |
text-generation | transformers |
# DavidAU/Noromaid-10.7B-0.4-DPO-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Noromaid-10.7B-0.4-DPO`](https://huggingface.co/Joseph717171/Noromaid-10.7B-0.4-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... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": [], "pipeline_tag": "text-generation"} | DavidAU/Noromaid-10.7B-0.4-DPO-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:06:51+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# DavidAU/Noromaid-10.7B-0.4-DPO-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Noromaid-10.7B-0.4-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:
... | [
"# DavidAU/Noromaid-10.7B-0.4-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Noromaid-10.7B-0.4-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... | [
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"# DavidAU/Noromaid-10.7B-0.4-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Noromaid-10.7B-0.4-DPO' using URL via the URL's GGUF-my-repo spa... | [
52,
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] | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n# DavidAU/Noromaid-10.7B-0.4-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Noromaid-10.7B-0.4-DPO' using URL via the URL's GGUF-my-repo space.\nR... |
image-classification | null |
## Model Architecture Details
### Architecture Overview
- **Architecture**: ViT Base
### Configuration
| Attribute | Value |
|----------------------|----------------|
| Patch Size | 32 |
| Image Size | 224 |
| Num Layers | 2 |
| ... | {"datasets": ["imagenet-1k"], "pipeline_tag": "image-classification"} | Prisma-Multimodal/ImageNet-base-Attention-and-MLP-Patch16 | null | [
"image-classification",
"dataset:imagenet-1k",
"region:us"
] | null | 2024-04-14T03:07:54+00:00 | [] | [] | TAGS
#image-classification #dataset-imagenet-1k #region-us
| Model Architecture Details
--------------------------
### Architecture Overview
* Architecture: ViT Base
### Configuration
### Performance
* Validation Accuracy (Top 5): 0.44
* Validation Accuracy: 0.23
### Additional Resources
The model was trained using the library: ViT-Prisma.
For detailed metrics,... | [
"### Architecture Overview\n\n\n* Architecture: ViT Base",
"### Configuration",
"### Performance\n\n\n* Validation Accuracy (Top 5): 0.44\n* Validation Accuracy: 0.23",
"### Additional Resources\n\n\nThe model was trained using the library: ViT-Prisma. \n\nFor detailed metrics, plots, and further analysis of... | [
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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. -->
# t5_model_1st
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "t5_model_1st", "results": []}]} | lingchensanwen/t5_model_1st | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T03:20:09+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# t5_model_1st
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5693
- Macro F1: 0.3704
- Micro F1: 0.4638
- Mae: 0.7064
- Spearman Corr: 0.5416
- Gen Len: 2.0
## Model description
More information needed
## Intend... | [
"# t5_model_1st\n\nThis model is a fine-tuned version of google/flan-t5-base on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 1.5693\n- Macro F1: 0.3704\n- Micro F1: 0.4638\n- Mae: 0.7064\n- Spearman Corr: 0.5416\n- Gen Len: 2.0",
"## Model description\n\nMore information ... | [
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null | adapter-transformers |
# ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF
This model was converted to GGUF format from [`Cognitive-Lab/Ambari-7B-Instruct-v0.2`](https://huggingface.co/Cognitive-Lab/Ambari-7B-Instruct-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer ... | {"language": ["en", "kn"], "license": "llama2", "library_name": "adapter-transformers", "tags": ["kannada", "bilingual", "llama-cpp", "gguf-my-repo"], "datasets": ["Cognitive-Lab/Kannada-Instruct-dataset"]} | ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF | null | [
"adapter-transformers",
"gguf",
"kannada",
"bilingual",
"llama-cpp",
"gguf-my-repo",
"en",
"kn",
"dataset:Cognitive-Lab/Kannada-Instruct-dataset",
"license:llama2",
"region:us"
] | null | 2024-04-14T03:20:16+00:00 | [] | [
"en",
"kn"
] | TAGS
#adapter-transformers #gguf #kannada #bilingual #llama-cpp #gguf-my-repo #en #kn #dataset-Cognitive-Lab/Kannada-Instruct-dataset #license-llama2 #region-us
|
# ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF
This model was converted to GGUF format from 'Cognitive-Lab/Ambari-7B-Instruct-v0.2' 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 t... | [
"# ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'Cognitive-Lab/Ambari-7B-Instruct-v0.2' 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... | [
"TAGS\n#adapter-transformers #gguf #kannada #bilingual #llama-cpp #gguf-my-repo #en #kn #dataset-Cognitive-Lab/Kannada-Instruct-dataset #license-llama2 #region-us \n",
"# ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'Cognitive-Lab/Ambari-7B-Instruct-v0.2' usin... | [
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"TAGS\n#adapter-transformers #gguf #kannada #bilingual #llama-cpp #gguf-my-repo #en #kn #dataset-Cognitive-Lab/Kannada-Instruct-dataset #license-llama2 #region-us \n# ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'Cognitive-Lab/Ambari-7B-Instruct-v0.2' using URL ... |
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": []} | Nischay27/phi_public_lb61_model | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T03:20:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #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)... | [
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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": []} | unrented5443/twiinvw | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:21:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #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)... | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | trungtienluong/vinallama-childcare-7b | null | [
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-14T03:23:30+00:00 | [
"1910.09700"
] | [] | TAGS
#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
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- Funded by [optional]:
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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/dukebot-qa-v3 | null | [
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] | [] | 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... | [
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text-generation | transformers |
# DavidAU/ANIMA-Phi-Neptune-Mistral-10.7B-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/ANIMA-Phi-Neptune-Mistral-10.7B`](https://huggingface.co/Joseph717171/ANIMA-Phi-Neptune-Mistral-10.7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) sp... | {"license": "artistic-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "chemistry", "biology", "climate", "science", "philosophy", "nature", "ecology", "biomimicry", "fauna", "flora", "llama-cpp", "gguf-my-repo"], "datasets": ["Severian/Biomimicry", "emrgnt-cmplxty/sciphi-textbooks-are-all-you-need",... | DavidAU/ANIMA-Phi-Neptune-Mistral-10.7B-Q6_K-GGUF | null | [
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"dataset:emrgnt-cmplxty/sciphi-textbooks-ar... | null | 2024-04-14T03:24:25+00:00 | [] | [] | TAGS
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# DavidAU/ANIMA-Phi-Neptune-Mistral-10.7B-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/ANIMA-Phi-Neptune-Mistral-10.7B' 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 ... | [
"# DavidAU/ANIMA-Phi-Neptune-Mistral-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/ANIMA-Phi-Neptune-Mistral-10.7B' 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... | [
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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. -->
# llama2-7b-without-context
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llam... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama2-7b-without-context", "results": []}]} | K-kiron/llama2-7b-without-context | null | [
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"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-14T03:25:21+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| llama2-7b-without-context
=========================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5472
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\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: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
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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/dukebot-qa-v3-merged | null | [
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"4-bit",
"region:us"
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"1910.09700"
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#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... | [
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text-classification | setfit |
# SetFit with sentence-transformers/LaBSE
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE) as the Sentence Transformer embedding model. A [LogisticRegressio... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "\u062d\u0635\u0644 \u0644\u0627\u0639\u0628\u0648 \u0627\u0644\u0645\u0646\u062a\u062e\u0628 \u0627\u0644\u0633\u0648\u0631\u064a \u0644\u0643\u06... | Ezzaldin-97/LaBSE-based-Arabic-News-Classifier | null | [
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| SetFit with sentence-transformers/LaBSE
=======================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/LaBSE as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has bee... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/LaBSE\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 256 tokens\n* Number of Classes: 4 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Paper: Efficient Few-S... | [
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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:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-flctqsu | null | [
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"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T03:30:01+00:00 | [] | [] | TAGS
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| # 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:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
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text-generation | transformers |
# DavidAU/Tess-10.7B-v2.0-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/Tess-10.7B-v2.0`](https://huggingface.co/Joseph717171/Tess-10.7B-v2.0) 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://... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": [], "pipeline_tag": "text-generation"} | DavidAU/Tess-10.7B-v2.0-Q6_K-GGUF | null | [
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"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:32:00+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #text-generation #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Tess-10.7B-v2.0-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/Tess-10.7B-v2.0' 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/Tess-10.7B-v2.0-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/Tess-10.7B-v2.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-classification | 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": []} | acuvity/text-subject_classification-distilbert-base-uncased-single_label-mgd_textbooks-mg | null | [
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"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:38:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #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 #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MarcOrfilaCarreras/vidalet-alpha
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "MarcOrfilaCarreras/vidalet-alpha", "quantized_by": "mradermacher"} | mradermacher/vidalet-alpha-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:MarcOrfilaCarreras/vidalet-alpha",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:38:19+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-MarcOrfilaCarreras/vidalet-alpha #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... | [] | [
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34
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] |
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. -->
# mistral-finetuned-senior
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/T... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "mistral-finetuned-senior", "results": []}]} | lattavia/mistral-finetuned-senior | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T03:40:20+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
|
# mistral-finetuned-senior
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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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": []} | solakim/Doug-CP-500-V3 | null | [
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"1910.09700"
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#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:
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- License... | [
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text-generation | transformers |
# DavidAU/BigOrca-2-XB-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/BigOrca-2-XB`](https://huggingface.co/Joseph717171/BigOrca-2-XB) 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://huggingfa... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "orca", "orca2", "microsoft", "llama-cpp", "gguf-my-repo"], "base_model": [], "pipeline_tag": "text-generation", "license_name": "microsoft-research-license", "license_link": "LICENSE"} | DavidAU/BigOrca-2-XB-Q6_K-GGUF | null | [
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|
# DavidAU/BigOrca-2-XB-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/BigOrca-2-XB' 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/BigOrca-2-XB-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/BigOrca-2-XB' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-refined-large
<Gallery />
## Model description
These are rfhuang/maui-refined-large LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was ena... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of a dog named Maui in random situations, taken from a smartphone camer... | rfhuang/maui-refined-large | null | [
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"license:openrail++",
"region:us"
] | null | 2024-04-14T03:44:17+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-refined-large
<Gallery />
## Model description
These are rfhuang/maui-refined-large LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used fo... | [
"# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-refined-large\n\n<Gallery />",
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# pippinnie/distilroberta-base-finetuned-cyber-readme-v2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilroberta-base", "model-index": [{"name": "pippinnie/distilroberta-base-finetuned-cyber-readme-v2", "results": []}]} | pippinnie/distilroberta-base-finetuned-cyber-readme-v2 | null | [
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| pippinnie/distilroberta-base-finetuned-cyber-readme-v2
======================================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.5523
* Train Accuracy: 0.0844
* Validation Loss: 2.23... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ibivibiv/collosus_120b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/collosus_120b-i1-G... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ibivibiv/collosus_120b", "quantized_by": "mradermacher"} | mradermacher/collosus_120b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix 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. ... | [] | [
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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. -->
# 0.0001_idpo_same_3itersn_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": "0.0001_idpo_same_3itersn_iter_1", "results": []}]} | ShenaoZ/0.0001_idpo_same_3itersn_iter_1 | null | [
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"endpoints_co... | null | 2024-04-14T03:47:01+00:00 | [] | [] | TAGS
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|
# 0.0001_idpo_same_3itersn_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 n... | [
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"## Intended uses & limitations\n\nMore information needed",
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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": []} | CodeJesus77/mistralProdFanyiv4 | null | [
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|
# 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... | [
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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:
* [OpenBuddy/openbuddy-mistral2-7b-v20.3-32k](... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["OpenBuddy/openbuddy-mistral2-7b-v20.3-32k", "Azure99/blossom-v5-mistral-7b"]} | Cran-May/SLIDE-v3_Preview0 | null | [
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"base_model:Azure99/blossom-v5-mistral-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T03:49:39+00:00 | [] | [] | TAGS
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| # 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:
* OpenBuddy/openbuddy-mistral2-7b-v20.3-32k
* Azure99/blossom-v5-mistral-7b
### Co... | [
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null | transformers |
# Cran-May/SLIDE-v3_Preview0-Q4_K_M-GGUF
This model was converted to GGUF format from [`Cran-May/SLIDE-v3_Preview0`](https://huggingface.co/Cran-May/SLIDE-v3_Preview0) 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:/... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["OpenBuddy/openbuddy-mistral2-7b-v20.3-32k", "Azure99/blossom-v5-mistral-7b"]} | Cran-May/SLIDE-v3_Preview0-Q4_K_M-GGUF | null | [
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"base_model:Azure99/blossom-v5-mistral-7b",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:54:24+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #base_model-Azure99/blossom-v5-mistral-7b #endpoints_compatible #region-us
|
# Cran-May/SLIDE-v3_Preview0-Q4_K_M-GGUF
This model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview0' 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:
... | [
"# Cran-May/SLIDE-v3_Preview0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | taoyoung/distilbert-base-uncased-finetuned-emotion | null | [
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"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T03:55:55+00:00 | [] | [] | TAGS
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2070
* Accuracy: 0.927
* F1: 0.9270
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\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",
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text-to-image | diffusers | # DarkSky Diffusion
<Gallery />
## Trigger words
You should use `Logo` to trigger the image generation.
## Download model
[Download](/FallnAI/DarkSkyML-v.1.0/tree/main) them in the Files & versions tab.
| {"license": "artistic-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Logo for skootrguy. Hood scooter rider", "output": {"url": "images/8yk7HKZuTWe9dT8yNhhRcA.jpg"}}, {"text": "Fat man in a flask on a scooter ", "output": {"url": "images/5YWbOZ1iTo-ZF1... | FallnAI/DarkSkyML-v.1.0 | null | [
"diffusers",
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"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:playgroundai/playground-v2.5-1024px-aesthetic",
"license:artistic-2.0",
"has_space",
"region:us"
] | null | 2024-04-14T03:56:34+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-playgroundai/playground-v2.5-1024px-aesthetic #license-artistic-2.0 #has_space #region-us
| # DarkSky Diffusion
<Gallery />
## Trigger words
You should use 'Logo' to trigger the image generation.
## Download model
Download them in the Files & versions tab.
| [
"# DarkSky Diffusion \n\n<Gallery />",
"## Trigger words\n\nYou should use 'Logo' to trigger the image generation.",
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"# DarkSky Diffusion \n\n<Gallery />",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# pippinnie/distilgpt2-finetuned-cyber-readme-v3
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) o... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilgpt2", "model-index": [{"name": "pippinnie/distilgpt2-finetuned-cyber-readme-v3", "results": []}]} | pippinnie/distilgpt2-finetuned-cyber-readme-v3 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T04:03:36+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| pippinnie/distilgpt2-finetuned-cyber-readme-v3
==============================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.8927
* Validation Loss: 3.9904
* Epoch: 4
Model description
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
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question-answering | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Locutusque/OpenCerebrum-2.0-7B
<!-- 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": ["open-source", "code", "math", "chemistry", "biology", "text-generation", "question-answering"], "base_model": "Locutusque/OpenCerebrum-2.0-7B", "quantized_by": "mradermacher"} | mradermacher/OpenCerebrum-2.0-7B-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
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"en"
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| 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... | [] | [
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] |
text-generation | transformers |
# T3qm7xpMultiverseex26-7B
T3qm7xpMultiverseex26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
## 🧩 Configuration
```yaml
models:
- ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp"]} | automerger/T3qm7xpMultiverseex26-7B | null | [
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"safetensors",
"mistral",
"text-generation",
"merge",
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"lazymergekit",
"automerger",
"base_model:allknowingroger/MultiverseEx26-7B-slerp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T04:08:11+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-allknowingroger/MultiverseEx26-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# T3qm7xpMultiverseex26-7B
T3qm7xpMultiverseex26-7B is an automated merge created by Maxime Labonne using the following configuration.
* allknowingroger/MultiverseEx26-7B-slerp
## Configuration
## Usage
| [
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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. -->
# codegemma-2b-duckdb-text-to-sql
This model is a fine-tuned version of [google/codegemma-2b](https://huggingface.co/google/codege... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/codegemma-2b", "model-index": [{"name": "codegemma-2b-duckdb-text-to-sql", "results": []}]} | kyryl-opens-ml/codegemma-2b-duckdb-text-to-sql | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:google/codegemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-14T04:10:07+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/codegemma-2b #license-gemma #region-us
|
# codegemma-2b-duckdb-text-to-sql
This model is a fine-tuned version of google/codegemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
"# codegemma-2b-duckdb-text-to-sql\n\nThis model is a fine-tuned version of google/codegemma-2b on the generator dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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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-math | null | [
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"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
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"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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-to-audio | 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. -->
# fil_enhanced_checkpoint
This model is a fine-tuned version of [mikhail-panzo/malay_full_checkpoint](https://huggingface.co/mikha... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "mikhail-panzo/malay_full_checkpoint", "model-index": [{"name": "fil_enhanced_checkpoint", "results": []}]} | mikhail-panzo/filipino_checkpoint | null | [
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"generated_from_trainer",
"base_model:mikhail-panzo/malay_full_checkpoint",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T04:16:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-mikhail-panzo/malay_full_checkpoint #license-mit #endpoints_compatible #region-us
| fil\_enhanced\_checkpoint
=========================
This model is a fine-tuned version of mikhail-panzo/malay\_full\_checkpoint on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4181
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-06\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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"]} | Vasanth/unsloth-gemma-glaive-function-calling | null | [
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"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"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.
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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. -->
# bert-finetuned-ner5
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknow... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner5", "results": []}]} | BrandonM001/bert-finetuned-ner5 | null | [
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"bert",
"token-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T04:21:23+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner5
===================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0931
* Precision: 0.9392
* Recall: 0.9539
* F1: 0.9465
* Accuracy: 0.9869
Model description
-----------------
More information n... | [
"### 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: 5",
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text-generation | transformers |
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model s... | {"license": "other", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/Tested-22k-Python-Alpaca", "mattpscott/airoboros-sum... | blockblockblock/airoboros-34b-3.3-bpw4.6 | null | [
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"dataset:glaiveai/glaive-function-callin... | null | 2024-04-14T04:22:18+00:00 | [] | [] | TAGS
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### Overview
Another experimental model, using mostly sythetic data generated by airoboros
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model supports 200k context size, this model was ... | [
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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-ep15 | null | [
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|
# 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.
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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": "meta-llama/Llama-2-7b-chat-hf"} | Yang78ok/Llama-2-7b-chat-hf-fine-tuned-adapters | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
- Repository:
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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": []} | jspetrisko/mistral-7b-sql-v0 | null | [
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"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]:
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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": []} | tom-brady/sn6_242 | null | [
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# distilbert_enron_emails
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert_enron_emails", "results": []}]} | changge29/distilbert_enron_emails | null | [
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"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-14T04:39:14+00:00 | [] | [] | TAGS
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| distilbert\_enron\_emails
=========================
This model is a fine-tuned version of distilbert-base-uncased on an SetFit/enron\_spam for 'Spam Dectection' task.
It achieves the following results on the evaluation set:
* Loss: 0.0522
* Accuracy: 0.9935
* F1: 0.9936
* Precision: 0.9921
* Recall: 0.9950
Model ... | [
"### 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: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4",
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text-generation | transformers | # hydra-project/CerebrumDolphin-2.0-Mistral-7B-v0.2 AWQ
- Model creator: [hydra-project](https://huggingface.co/hydra-project)
- Original model: [CerebrumDolphin-2.0-Mistral-7B-v0.2](https://huggingface.co/Locutusque/CerebrumDolphin-2.0-Mistral-7B-v0.2)
## Model Summary
This model was merged using the SLERP merge me... | {"language": ["en"], "license": "apache-2.0", "tags": ["mergekit", "merge", "quantized", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "model_name": "CerebrumDolphin-2.0-Mistral-7B-v0.2", "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "Locutusque/OpenC... | solidrust/CerebrumDolphin-2.0-Mistral-7B-v0.2-AWQ | null | [
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"li... | null | 2024-04-14T04:41:25+00:00 | [] | [
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| # hydra-project/CerebrumDolphin-2.0-Mistral-7B-v0.2 AWQ
- Model creator: hydra-project
- Original model: CerebrumDolphin-2.0-Mistral-7B-v0.2
## Model Summary
This model was merged using the SLERP merge method.
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* Locu... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/OneGate/OGSQL-Mistral7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "tags": ["Text-to-sql"], "base_model": "OneGate/OGSQL-Mistral7B", "quantized_by": "mradermacher"} | mradermacher/OGSQL-Mistral7B-GGUF | null | [
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] | TAGS
#transformers #gguf #Text-to-sql #en #base_model-OneGate/OGSQL-Mistral7B #license-cc-by-4.0 #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... | [] | [
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] |
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. -->
# DialogLED-base-16384-dialogsum-finetuned-10epochs
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https:/... | {"tags": ["generated_from_trainer"], "datasets": ["knkarthick/dialogsum"], "base_model": "MingZhong/DialogLED-base-16384", "model-index": [{"name": "DialogLED-base-16384-dialogsum-finetuned-10epochs", "results": []}]} | StDestiny/DialogLED-base-16384-dialogsum-finetuned-10epochs | null | [
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"base_model:MingZhong/DialogLED-base-16384",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T04:49:05+00:00 | [] | [] | TAGS
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| DialogLED-base-16384-dialogsum-finetuned-10epochs
=================================================
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the dialogsum dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3006
Model description
-----------------
More info... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#transformers #tensorboard #safetensors #led #text2text-generation #generated_from_trainer #dataset-knkarthick/dialogsum #base_model-MingZhong/DialogLED-base-16384 #autotrain_compatible #endpoints_compatible #region-us \n",
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"TAGS\n#transformers #tensorboard #safetensors #led #text2text-generation #generated_from_trainer #dataset-knkarthick/dialogsum #base_model-MingZhong/DialogLED-base-16384 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during trainin... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# DriveMyScream/distilbert-base-uncased-finetuned-fake_news_classification
This model is a fine-tuned version of [distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "DriveMyScream/distilbert-base-uncased-finetuned-fake_news_classification", "results": []}]} | DriveMyScream/distilbert-base-uncased-finetuned-fake_news_classification | null | [
"transformers",
"tf",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T04:51:06+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #distilbert #text-classification #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| DriveMyScream/distilbert-base-uncased-finetuned-fake\_news\_classification
==========================================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.4985
* V... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
"TAGS\n#transformers #tf #tensorboard #distilbert #text-classification #generated_from_keras_callback #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\... | [
62,
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] | [
"TAGS\n#transformers #tf #tensorboard #distilbert #text-classification #generated_from_keras_callback #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* opt... |
null | null |
# Headline Generation Package
This is a Python package for generating headlines from Articles.
## Installation
You can install the package using pip:
```bash
pip install headline-gen
```
## Usage
```python
from headline_gen.Control import ServerCntrl, Generate
# Run this once to start the server
Server = Server... | {} | venkatchoudharyala/headline-gen | null | [
"region:us"
] | null | 2024-04-14T04:51:14+00:00 | [] | [] | TAGS
#region-us
|
# Headline Generation Package
This is a Python package for generating headlines from Articles.
## Installation
You can install the package using pip:
## Usage
## Description
This package provides functionality to generate headlines from article text using natural language processing techniques.
## Usage Ins... | [
"# Headline Generation Package\n\nThis is a Python package for generating headlines from Articles.",
"## Installation\n\nYou can install the package using pip:",
"## Usage",
"## Description\n\nThis package provides functionality to generate headlines from article text using natural language processing techniq... | [
"TAGS\n#region-us \n",
"# Headline Generation Package\n\nThis is a Python package for generating headlines from Articles.",
"## Installation\n\nYou can install the package using pip:",
"## Usage",
"## Description\n\nThis package provides functionality to generate headlines from article text using natural la... | [
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"TAGS\n#region-us \n# Headline Generation Package\n\nThis is a Python package for generating headlines from Articles.## Installation\n\nYou can install the package using pip:## Usage## Description\n\nThis package provides functionality to generate headlines from article text using natural language processing techni... |
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. -->
# llama2-7b-context-prompt
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama2-7b-context-prompt", "results": []}]} | K-kiron/llama2-7b-context-prompt | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-14T04:52:17+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| llama2-7b-context-prompt
========================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1927
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\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: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed... | [
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"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n... |
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