pipeline_tag stringclasses 48
values | library_name stringclasses 198
values | text stringlengths 1 900k | metadata stringlengths 2 438k | id stringlengths 5 122 | last_modified null | tags listlengths 1 1.84k | sha null | created_at stringlengths 25 25 | arxiv listlengths 0 201 | languages listlengths 0 1.83k | tags_str stringlengths 17 9.34k | text_str stringlengths 0 389k | text_lists listlengths 0 722 | processed_texts listlengths 1 723 | tokens_length listlengths 1 723 | input_texts listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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. -->
# apply_back_translation_model_v3
This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "vinai/bartpho-syllable-base", "model-index": [{"name": "apply_back_translation_model_v3", "results": []}]} | long292/apply_back_translation_model_v3 | null | [
"transformers",
"tensorboard",
"safetensors",
"mbart",
"text2text-generation",
"generated_from_trainer",
"base_model:vinai/bartpho-syllable-base",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:14:08+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-syllable-base #autotrain_compatible #endpoints_compatible #region-us
| apply\_back\_translation\_model\_v3
===================================
This model is a fine-tuned version of vinai/bartpho-syllable-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7866
* Bleu: 9.5112
* Gen Len: 18.0821
Model description
-----------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-syllable-base #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate... | [
54,
101,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-syllable-base #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-0... |
text-to-image | diffusers |
# LoRA text2image fine-tuning - raman07/LR_0.0001
These are LoRA adaption weights for raman07/pixart-alpha-256x256. The weights were fine-tuned on the MIMIC-CXR dataset.
| {"license": "creativeml-openrail-m", "tags": ["pixart-alpha", "medical-pixart-alpha", "text-to-image", "diffusers", "lora"], "base_model": "raman07/pixart-alpha-256x256", "inference": true} | raman07/LR_0.0001 | null | [
"diffusers",
"pixart-alpha",
"medical-pixart-alpha",
"text-to-image",
"lora",
"base_model:raman07/pixart-alpha-256x256",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-17T15:17:21+00:00 | [] | [] | TAGS
#diffusers #pixart-alpha #medical-pixart-alpha #text-to-image #lora #base_model-raman07/pixart-alpha-256x256 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - raman07/LR_0.0001
These are LoRA adaption weights for raman07/pixart-alpha-256x256. The weights were fine-tuned on the MIMIC-CXR dataset.
| [
"# LoRA text2image fine-tuning - raman07/LR_0.0001\nThese are LoRA adaption weights for raman07/pixart-alpha-256x256. The weights were fine-tuned on the MIMIC-CXR dataset."
] | [
"TAGS\n#diffusers #pixart-alpha #medical-pixart-alpha #text-to-image #lora #base_model-raman07/pixart-alpha-256x256 #license-creativeml-openrail-m #region-us \n",
"# LoRA text2image fine-tuning - raman07/LR_0.0001\nThese are LoRA adaption weights for raman07/pixart-alpha-256x256. The weights were fine-tuned on th... | [
61,
63
] | [
"TAGS\n#diffusers #pixart-alpha #medical-pixart-alpha #text-to-image #lora #base_model-raman07/pixart-alpha-256x256 #license-creativeml-openrail-m #region-us \n# LoRA text2image fine-tuning - raman07/LR_0.0001\nThese are LoRA adaption weights for raman07/pixart-alpha-256x256. The weights were fine-tuned on the MIMI... |
token-classification | transformers |
# Model Card for Model ID
This model is finetuned to predict Personally Identifiable Information
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
recall: 0.8631984585741811,
precision: 0.896,
f5: 0.8644155844155844
- **Language(s) (NLP):** English
- **Finetuned ... | {"library_name": "transformers", "tags": []} | zmilczarek/pii-detection-baseline-v0.2 | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:18:03+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
This model is finetuned to predict Personally Identifiable Information
## Model Details
### Model Description
recall: 0.8631984585741811,
precision: 0.896,
f5: 0.8644155844155844
- Language(s) (NLP): English
- Finetuned from model [optional]: bert-base-uncased | [
"# Model Card for Model ID\n\nThis model is finetuned to predict Personally Identifiable Information",
"## Model Details",
"### Model Description\n\n\n\nrecall: 0.8631984585741811, \nprecision: 0.896, \nf5: 0.8644155844155844\n\n- Language(s) (NLP): English\n- Finetuned from model [optional]: bert-base-uncased"... | [
"TAGS\n#transformers #safetensors #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID\n\nThis model is finetuned to predict Personally Identifiable Information",
"## Model Details",
"### Model Description\n\n\n\nrecall: 0.8631984585741811, \npreci... | [
27,
17,
4,
67
] | [
"TAGS\n#transformers #safetensors #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID\n\nThis model is finetuned to predict Personally Identifiable Information## Model Details### Model Description\n\n\n\nrecall: 0.8631984585741811, \nprecision: 0.896, \nf5:... |
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. -->
# model_hh_shp2_200
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp2_200", "results": []}]} | guoyu-zhang/model_hh_shp2_200 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T15:19:38+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_shp2\_200
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0980
* Rewards/chosen: -2.6010
* Rewards/rejected: -3.0421
* Rewards/accuracies: 0.5700
* Rewards/margins: 0.4411
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* s... | [
52,
140,
5,
52
] | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 4... |
text-generation | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
We fine-tuned the [LeoLM/leo-mistral-hessianai-7b](https://huggingface.co/LeoLM/leo-mistral-hessianai-7b) with a set of ca. 2600 newspaper articles which have been simplified by the Austrian Press Agency.
Our aim was to have a mode... | {"language": ["de"], "license": "apache-2.0", "tags": ["german", "deutsch", "simplification", "vereinfachung"], "pipeline_tag": "text-generation"} | hiig-piai/simba-v01d-co | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"german",
"deutsch",
"simplification",
"vereinfachung",
"conversational",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T15:20:46+00:00 | [] | [
"de"
] | TAGS
#transformers #safetensors #mistral #text-generation #german #deutsch #simplification #vereinfachung #conversational #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Model ID
We fine-tuned the LeoLM/leo-mistral-hessianai-7b with a set of ca. 2600 newspaper articles which have been simplified by the Austrian Press Agency.
Our aim was to have a model which can simplify German-language text. This model has been trained with the completition-only configuration.
... | [
"# Model Card for Model ID\n\n\n\nWe fine-tuned the LeoLM/leo-mistral-hessianai-7b with a set of ca. 2600 newspaper articles which have been simplified by the Austrian Press Agency. \nOur aim was to have a model which can simplify German-language text. This model has been trained with the completition-only configur... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #german #deutsch #simplification #vereinfachung #conversational #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID\n\n\n\nWe fine-tuned the LeoLM/leo-mistral-hessianai... | [
64,
76,
4,
69,
16,
3,
38,
72,
24,
28,
20,
4,
20,
13,
3,
71,
12
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #german #deutsch #simplification #vereinfachung #conversational #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID\n\n\n\nWe fine-tuned the LeoLM/leo-mistral-hessianai-7b wi... |
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. -->
# komodo-7b-50epochs-LoRA-LaMini-1e-3
This model is a fine-tuned version of [Yellow-AI-NLP/komodo-7b-base](https://huggingface.co/... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "Yellow-AI-NLP/komodo-7b-base", "model-index": [{"name": "komodo-7b-50epochs-LoRA-LaMini-1e-3", "results": []}]} | hanifsyarubany10/komodo-7b-50epochs-LoRA-LaMini-1e-3 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:Yellow-AI-NLP/komodo-7b-base",
"license:llama2",
"region:us"
] | null | 2024-04-17T15:24:17+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us
|
# komodo-7b-50epochs-LoRA-LaMini-1e-3
This model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# komodo-7b-50epochs-LoRA-LaMini-1e-3\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us \n",
"# komodo-7b-50epochs-LoRA-LaMini-1e-3\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.",
"## Model ... | [
58,
53,
7,
9,
9,
4,
132,
5,
58
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us \n# komodo-7b-50epochs-LoRA-LaMini-1e-3\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.## Model description\... |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_glove_s600
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](http://nilc... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_glove_s600 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:26:37+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_glove_s600
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 600 dimensional dense vector space and can be used for tasks like... | [
"# mteb-pt/average_pt_nilc_glove_s600\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 600 dimensional dense vector space and can be used for ... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_glove_s600\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be fou... | [
24,
84,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_glove_s600\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at:... |
text-generation | transformers | ORIGIGNAL MODEL LINK: https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B
EXL2 4bit: https://huggingface.co/Kotokin/Merged-RP-Stew-V2-51B-exl2-4bpw
Hi, this is the rp-stew-v2 model enlarged up to 90 layers. To be honest, I don't know why, but someone might need it. I'm just testing it myself, compared to the o... | {"license": "other", "tags": ["merge", "roleplay", "exl2", "not-for-all-audiences"], "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | Kotokin/Merged-RP-Stew-V2-51B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"roleplay",
"exl2",
"not-for-all-audiences",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T15:26:47+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #roleplay #exl2 #not-for-all-audiences #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ORIGIGNAL MODEL LINK: URL
EXL2 4bit: URL
Hi, this is the rp-stew-v2 model enlarged up to 90 layers. To be honest, I don't know why, but someone might need it. I'm just testing it myself, compared to the original.
# Merged-Vicuna-RP-Stew-51B
This is a merge of pre-trained language models created using mergekit.
## ... | [
"# Merged-Vicuna-RP-Stew-51B\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details\n\nNew pot of stew with some slight seasoning added into the merging recipe. Besides being decent models, Capybara was chosen at a higher percentage for it's general aptitude plus preserving ... | [
"TAGS\n#transformers #safetensors #llama #text-generation #merge #roleplay #exl2 #not-for-all-audiences #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Merged-Vicuna-RP-Stew-51B\n\nThis is a merge of pre-trained language models created using mergekit.",
"... | [
55,
28,
183,
862,
81,
28
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #merge #roleplay #exl2 #not-for-all-audiences #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Merged-Vicuna-RP-Stew-51B\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Det... |
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": []} | adammoss/gpt-pretrain-lm-w10 | null | [
"transformers",
"safetensors",
"gptmodel",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:27:11+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gptmodel #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 #gptmodel #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\... | [
31,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gptmodel #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by:... |
text-generation | transformers |
# Model Card for Mixtral-8x22B-Instruct-v0.1
The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the [Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1).
## Run the model
```python
from transformers import AutoModelForCausalLM
from mistral_common.prot... | {"license": "apache-2.0"} | aaronday3/Mixtral-8x22B-Instruct-v0.1 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T15:28:10+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Mixtral-8x22B-Instruct-v0.1
The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1.
## Run the model
# Instruct tokenizer
The HuggingFace tokenizer included in this release should match our own. To compare:
'pip install mistral-commo... | [
"# Model Card for Mixtral-8x22B-Instruct-v0.1\nThe Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1.",
"## Run the model",
"# Instruct tokenizer\nThe HuggingFace tokenizer included in this release should match our own. To compare: \n'pip install ... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Mixtral-8x22B-Instruct-v0.1\nThe Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned... | [
45,
65,
5,
30,
85,
230
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Mixtral-8x22B-Instruct-v0.1\nThe Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned versi... |
text-generation | transformers |
# Model Card for Mixtral-8x22B-Instruct-v0.1
The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the [Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1).
## Run the model
```python
from transformers import AutoModelForCausalLM
from mistral_common.prot... | {"license": "apache-2.0"} | Gokuldaskumar/Mixtral-8x22B-Instruct-v0.1 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T15:29:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Mixtral-8x22B-Instruct-v0.1
The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1.
## Run the model
# Instruct tokenizer
The HuggingFace tokenizer included in this release should match our own. To compare:
'pip install mistral-commo... | [
"# Model Card for Mixtral-8x22B-Instruct-v0.1\nThe Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1.",
"## Run the model",
"# Instruct tokenizer\nThe HuggingFace tokenizer included in this release should match our own. To compare: \n'pip install ... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Mixtral-8x22B-Instruct-v0.1\nThe Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned... | [
45,
65,
5,
30,
85,
230
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Mixtral-8x22B-Instruct-v0.1\nThe Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned versi... |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_wang2vec_skip_s300
This is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_wang2vec_skip_s300 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:30:42+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_wang2vec_skip_s300
This is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for... | [
"# mteb-pt/average_pt_nilc_wang2vec_skip_s300\n\nThis is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 300 dimensional dense vector space and can b... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_wang2vec_skip_s300\n\nThis is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings... | [
24,
92,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_wang2vec_skip_s300\n\nThis is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can b... |
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": []} | ml233/humanai-llama | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-17T15:31:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #has_space #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 #arxiv-1910.09700 #endpoints_compatible #has_space #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Develop... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #has_space #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded ... |
automatic-speech-recognition | 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. -->
# w2v-bert-2.0-mongolian-colab-CV16.0
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/faceboo... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_0"], "base_model": "facebook/w2v-bert-2.0", "model-index": [{"name": "w2v-bert-2.0-mongolian-colab-CV16.0", "results": []}]} | joeluk/w2v-bert-2.0-mongolian-colab-CV16.0 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2-bert",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_16_0",
"base_model:facebook/w2v-bert-2.0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:35:44+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2-bert #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_0 #base_model-facebook/w2v-bert-2.0 #license-mit #endpoints_compatible #region-us
|
# w2v-bert-2.0-mongolian-colab-CV16.0
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_16_0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
"# w2v-bert-2.0-mongolian-colab-CV16.0\n\nThis model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_16_0 dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed"... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2-bert #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_0 #base_model-facebook/w2v-bert-2.0 #license-mit #endpoints_compatible #region-us \n",
"# w2v-bert-2.0-mongolian-colab-CV16.0\n\nThis model is a fine-tuned version of facebo... | [
71,
52,
7,
9,
9,
4,
133,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2-bert #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_0 #base_model-facebook/w2v-bert-2.0 #license-mit #endpoints_compatible #region-us \n# w2v-bert-2.0-mongolian-colab-CV16.0\n\nThis model is a fine-tuned version of facebook/w2v... |
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": "jphme/em_german_leo_mistral"} | hiig-piai/simba-01d-ftb | null | [
"peft",
"safetensors",
"mistral",
"arxiv:1910.09700",
"base_model:jphme/em_german_leo_mistral",
"region:us"
] | null | 2024-04-17T15:39:52+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #mistral #arxiv-1910.09700 #base_model-jphme/em_german_leo_mistral #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #mistral #arxiv-1910.09700 #base_model-jphme/em_german_leo_mistral #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License... | [
42,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
4,
13,
4,
13
] | [
"TAGS\n#peft #safetensors #mistral #arxiv-1910.09700 #base_model-jphme/em_german_leo_mistral #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned fr... |
null | null |
# GGUF / IQ / Imatrix for [Phi-2 Orange Version 2](https://huggingface.co/rhysjones/phi-2-orange-v2)
>I like the Phi-2 variants, and noticed there isn't a single repo that offers GGUF with a full range of sizes.
>I quantized this model for myself, but also for anyone else interested.
>It includes a good variety of sm... | {"license": "mit", "datasets": ["Open-Orca/SlimOrca-Dedup", "migtissera/Synthia-v1.3", "LDJnr/Verified-Camel", "LDJnr/Pure-Dove", "LDJnr/Capybara", "meta-math/MetaMathQA", "Intel/orca_dpo_pairs", "argilla/ultrafeedback-binarized-preferences-cleaned"], "widget": [{"example_title": "Example interaction", "text": "Why is ... | ABX-AI/phi-2-orange-v2-GGUF-IQ-Imatrix | null | [
"gguf",
"dataset:Open-Orca/SlimOrca-Dedup",
"dataset:migtissera/Synthia-v1.3",
"dataset:LDJnr/Verified-Camel",
"dataset:LDJnr/Pure-Dove",
"dataset:LDJnr/Capybara",
"dataset:meta-math/MetaMathQA",
"dataset:Intel/orca_dpo_pairs",
"dataset:argilla/ultrafeedback-binarized-preferences-cleaned",
"licens... | null | 2024-04-17T15:40:25+00:00 | [] | [] | TAGS
#gguf #dataset-Open-Orca/SlimOrca-Dedup #dataset-migtissera/Synthia-v1.3 #dataset-LDJnr/Verified-Camel #dataset-LDJnr/Pure-Dove #dataset-LDJnr/Capybara #dataset-meta-math/MetaMathQA #dataset-Intel/orca_dpo_pairs #dataset-argilla/ultrafeedback-binarized-preferences-cleaned #license-mit #model-index #region-us
| GGUF / IQ / Imatrix for Phi-2 Orange Version 2
==============================================
>
> I like the Phi-2 variants, and noticed there isn't a single repo that offers GGUF with a full range of sizes.
> I quantized this model for myself, but also for anyone else interested.
> It includes a good variety of sm... | [
"### ORIGINAL DESCRIPTION:\n\n\n!Phi-2 Orange\n\n\nPhi-2 Orange Version 2\n======================\n\n\nA two-step finetune of Phi-2, with a bit more zest.\n\n\nThis is an improved version of the original Phi-2-Orange that\nuses an updated training process on the same datasets.\n\n\nIt also uses the latest updated m... | [
"TAGS\n#gguf #dataset-Open-Orca/SlimOrca-Dedup #dataset-migtissera/Synthia-v1.3 #dataset-LDJnr/Verified-Camel #dataset-LDJnr/Pure-Dove #dataset-LDJnr/Capybara #dataset-meta-math/MetaMathQA #dataset-Intel/orca_dpo_pairs #dataset-argilla/ultrafeedback-binarized-preferences-cleaned #license-mit #model-index #region-us... | [
127,
292
] | [
"TAGS\n#gguf #dataset-Open-Orca/SlimOrca-Dedup #dataset-migtissera/Synthia-v1.3 #dataset-LDJnr/Verified-Camel #dataset-LDJnr/Pure-Dove #dataset-LDJnr/Capybara #dataset-meta-math/MetaMathQA #dataset-Intel/orca_dpo_pairs #dataset-argilla/ultrafeedback-binarized-preferences-cleaned #license-mit #model-index #region-us... |
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. -->
# sentiment_analysis_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "sentiment_analysis_model", "results": []}]} | sengy/sentiment_analysis_model | null | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:41:36+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| sentiment\_analysis\_model
==========================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1945
* Accuracy: 0.9241
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\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: 1",
"### Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #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* learning\\_rate: 2e-05\n* train\\_b... | [
47,
101,
5,
40
] | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #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* learning\\_rate: 2e-05\n* train\\_batch\\... |
null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/WizardLM-2-7B-GGUF-smashed | null | [
"gguf",
"pruna-ai",
"region:us"
] | null | 2024-04-17T15:41:41+00:00 | [] | [] | TAGS
#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
Simply make AI models cheaper, smaller, faster, and greener!
============================================================
* Give a thumbs up if you like this model!
* Contact us and tell us which model to compress n... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
"TAGS\n#gguf #pruna-ai #region-us \n",
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code... | [
14,
37,
20,
236
] | [
"TAGS\n#gguf #pruna-ai #region-us \n### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.#### First install the package\n\nRun one of the following commands, according to your system:#### Simple llama-cpp-python example code\n\n```\n\n* Optio... |
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. -->
# model-cnn-dailymail
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "bleu"], "base_model": "google-t5/t5-small", "model-index": [{"name": "model-cnn-dailymail", "results": []}]} | lexycakesssss/model-cnn-dailymail | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google-t5/t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T15:45:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google-t5/t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| model-cnn-dailymail
===================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0614
* Rouge: {'rouge1': 0.244712987386149, 'rouge2': 0.09089741156156833, 'rougeL': 0.20130780704255938, 'rougeLsum': 0.20144580... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\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",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google-t5/t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used duri... | [
67,
101,
5,
42
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google-t5/t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during tra... |
sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | alexjones1925/all-MiniLM-L12-v2-ibotta-gp-walmart-search-clicks-GISTLoss-dev-v1 | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:47:11+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 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-transformers installed:
Then you can u... | [
"# {MODEL_NAME}\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transformers installed:\n\n\n\n... | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# {MODEL_NAME}\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic sea... | [
28,
41,
30,
26,
119,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# {MODEL_NAME}\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.##... |
text-to-image | diffusers | # Landscape Finetune Model Card | {"language": ["en"], "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "art", "diffusers"], "duplicated_from": "runwayml/stable-diffusion-v1-5", "pipeline_tag": "text-to-image", "inference": true} | GamerC0der/WorldDiffusionLandscape | null | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"en",
"has_space",
"region:us"
] | null | 2024-04-17T15:48:40+00:00 | [] | [
"en"
] | TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #art #en #has_space #region-us
| # Landscape Finetune Model Card | [
"# Landscape Finetune Model Card"
] | [
"TAGS\n#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #art #en #has_space #region-us \n",
"# Landscape Finetune Model Card"
] | [
33,
7
] | [
"TAGS\n#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #art #en #has_space #region-us \n# Landscape Finetune Model Card"
] |
text-classification | transformers | | Dataset Name | Test Accuracy |
|--------------------------|---------------|
| glue/mrpc | 0.856 |
| glue/qqp | 0.876 |
| hlgd | 0.898 |
| paws/labeled_final | 0.952 |
| paws/labeled_swap | 0.968 |
| med... | {"language": ["en"], "datasets": ["nyu-mll/glue", "paws", "hlgd", "quora", "tasksource/parade", "tasksource/apt", "medical_questions_pairs"]} | sileod/deberta-v3-base-tasksource-paraphrase | null | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"en",
"dataset:nyu-mll/glue",
"dataset:paws",
"dataset:hlgd",
"dataset:quora",
"dataset:tasksource/parade",
"dataset:tasksource/apt",
"dataset:medical_questions_pairs",
"autotrain_compatible",
"endpoints_compatible",
"region... | null | 2024-04-17T15:49:20+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #deberta-v2 #text-classification #en #dataset-nyu-mll/glue #dataset-paws #dataset-hlgd #dataset-quora #dataset-tasksource/parade #dataset-tasksource/apt #dataset-medical_questions_pairs #autotrain_compatible #endpoints_compatible #region-us
|
(Accepted at LREC-COLING 2024)
| [] | [
"TAGS\n#transformers #pytorch #deberta-v2 #text-classification #en #dataset-nyu-mll/glue #dataset-paws #dataset-hlgd #dataset-quora #dataset-tasksource/parade #dataset-tasksource/apt #dataset-medical_questions_pairs #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
91
] | [
"TAGS\n#transformers #pytorch #deberta-v2 #text-classification #en #dataset-nyu-mll/glue #dataset-paws #dataset-hlgd #dataset-quora #dataset-tasksource/parade #dataset-tasksource/apt #dataset-medical_questions_pairs #autotrain_compatible #endpoints_compatible #region-us \n"
] |
text-generation | transformers | <img src="logo.jpeg">
I recommend using <a href=https://huggingface.co/DZgas/GIGABATEMAN-7B-GGUF/tree/main>GGUF Variant</a> with <a href=https://github.com/LostRuins/koboldcpp/releases>koboldcpp</a> (do not use GPT4ALL)
This model was merged by me for myself. During the week, I analyzed the responses of more than 30... | {"language": ["en"], "tags": ["mistral", "llama", "nsfw", "roleplay", "merge"], "pipeline_tag": "text-generation"} | DZgas/GIGABATEMAN-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"llama",
"nsfw",
"roleplay",
"merge",
"en",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T15:51:10+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #llama #nsfw #roleplay #merge #en #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| <img src="URL">
I recommend using <a href=URL Variant</a> with <a href=URL (do not use GPT4ALL)
This model was merged by me for myself. During the week, I analyzed the responses of more than 30 neural networks. According to personal criteria, I chose the 4 most suitable ones. And merge into one.
With the GIGABATEMA... | [
"# If you tired of neural networks write 90% of warnings and 10% of the response, this neural network is for you.",
"### Models Merged\nLemonadeRP-4.5.3 as a base.\nSilicon-Alice-7B.\nzephyr-7b-beta.\nInfinityRP-v1-7B."
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #llama #nsfw #roleplay #merge #en #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# If you tired of neural networks write 90% of warnings and 10% of the response, this neural network is for you.",
"### Models Mer... | [
48,
26,
43
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #llama #nsfw #roleplay #merge #en #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# If you tired of neural networks write 90% of warnings and 10% of the response, this neural network is for you.### Models Merged\nLemonad... |
text-generation | null | <img src="logo.png">
This is a GGUF variant of <a href=https://huggingface.co/DZgas/GIGABATEMAN-7B>GIGABATEMAN-7B</a> model. Use with <a href=https://github.com/LostRuins/koboldcpp/releases>koboldcpp</a> (do not use GPT4ALL)
| {"language": ["en"], "tags": ["mistral", "llama", "roleplay", "merge"], "pipeline_tag": "text-generation"} | DZgas/GIGABATEMAN-7B-GGUF | null | [
"gguf",
"mistral",
"llama",
"roleplay",
"merge",
"text-generation",
"en",
"region:us"
] | null | 2024-04-17T15:51:43+00:00 | [] | [
"en"
] | TAGS
#gguf #mistral #llama #roleplay #merge #text-generation #en #region-us
| <img src="URL">
This is a GGUF variant of <a href=URL model. Use with <a href=URL (do not use GPT4ALL)
| [] | [
"TAGS\n#gguf #mistral #llama #roleplay #merge #text-generation #en #region-us \n"
] | [
26
] | [
"TAGS\n#gguf #mistral #llama #roleplay #merge #text-generation #en #region-us \n"
] |
null | null |
# KSI-RP-NSK-128k-7B-GGUF ⭐️⭐️⭐️⭐️
KSI-RP-NSK-128k-7B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp](https://huggingface.co/AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp)
* [AlekseiPravdin/NSK-128k-7B-slerp](https://huggingfa... | {"language": ["en", "ru", "th"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp", "AlekseiPravdin/NSK-128k-7B-slerp", "gguf", "Q2_K", "Q3_K_L", "Q3_K_M", "Q3_K_S", "Q4_0", "Q4_1", "Q4_K_S", "Q4_k_m", "Q5_0", "Q5_1", "Q6_K", "Q5_K_S", "Q5_k_m", "Q8_... | AlekseiPravdin/KSI-RP-NSK-128k-7B-gguf | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp",
"AlekseiPravdin/NSK-128k-7B-slerp",
"Q2_K",
"Q3_K_L",
"Q3_K_M",
"Q3_K_S",
"Q4_0",
"Q4_1",
"Q4_K_S",
"Q4_k_m",
"Q5_0",
"Q5_1",
"Q6_K",
"Q5_K_S",
"Q5_k_m",
"Q8_0",
"128k",
"en",
"... | null | 2024-04-17T15:51:47+00:00 | [] | [
"en",
"ru",
"th"
] | TAGS
#gguf #merge #mergekit #lazymergekit #AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp #AlekseiPravdin/NSK-128k-7B-slerp #Q2_K #Q3_K_L #Q3_K_M #Q3_K_S #Q4_0 #Q4_1 #Q4_K_S #Q4_k_m #Q5_0 #Q5_1 #Q6_K #Q5_K_S #Q5_k_m #Q8_0 #128k #en #ru #th #license-apache-2.0 #region-us
|
# KSI-RP-NSK-128k-7B-GGUF ⭐️⭐️⭐️⭐️
KSI-RP-NSK-128k-7B is a merge of the following models using mergekit:
* AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp
* AlekseiPravdin/NSK-128k-7B-slerp
## Configuration
Eval embedding benchmark (with 70 specific quesions):
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!U... | [
"# KSI-RP-NSK-128k-7B-GGUF ⭐️⭐️⭐️⭐️\n\nKSI-RP-NSK-128k-7B is a merge of the following models using mergekit:\n* AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp\n* AlekseiPravdin/NSK-128k-7B-slerp",
"## Configuration\n\n\n\nEval embedding benchmark (with 70 specific quesions):\n\n!URL\n!URL\n!URL\n!URL\n!URL\n!URL... | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp #AlekseiPravdin/NSK-128k-7B-slerp #Q2_K #Q3_K_L #Q3_K_M #Q3_K_S #Q4_0 #Q4_1 #Q4_K_S #Q4_k_m #Q5_0 #Q5_1 #Q6_K #Q5_K_S #Q5_k_m #Q8_0 #128k #en #ru #th #license-apache-2.0 #region-us \n",
"# KSI-RP-NSK-128k-7B-GGUF ⭐️⭐️⭐️⭐️\... | [
163,
88,
60
] | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp #AlekseiPravdin/NSK-128k-7B-slerp #Q2_K #Q3_K_L #Q3_K_M #Q3_K_S #Q4_0 #Q4_1 #Q4_K_S #Q4_k_m #Q5_0 #Q5_1 #Q6_K #Q5_K_S #Q5_k_m #Q8_0 #128k #en #ru #th #license-apache-2.0 #region-us \n# KSI-RP-NSK-128k-7B-GGUF ⭐️⭐️⭐️⭐️\n\nKSI... |
text2text-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": []} | Mlteamnc/Schedules_Pix2Struct | null | [
"transformers",
"safetensors",
"pix2struct",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:52:19+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #pix2struct #text2text-generation #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 #pix2struct #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #pix2struct #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has be... |
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": []} | Zeto0/google2b_finetune | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:52:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | null |
# Antler-7B-RP-v3-GGUF
## 概要
[Aratako/Antler-7B-RP-v3](https://huggingface.co/Aratako/Antler-7B-RP-v3)の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | {"language": ["ja"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": ["Aratako/Antler-7B-RP-v3"]} | Aratako/Antler-7B-RP-v3-GGUF | null | [
"gguf",
"not-for-all-audiences",
"nsfw",
"ja",
"dataset:grimulkan/LimaRP-augmented",
"dataset:Aratako/Rosebleu-1on1-Dialogues-RP",
"base_model:Aratako/Antler-7B-RP-v3",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T15:53:40+00:00 | [] | [
"ja"
] | TAGS
#gguf #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-Aratako/Antler-7B-RP-v3 #license-apache-2.0 #region-us
|
# Antler-7B-RP-v3-GGUF
## 概要
Aratako/Antler-7B-RP-v3の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | [
"# Antler-7B-RP-v3-GGUF",
"## 概要\nAratako/Antler-7B-RP-v3の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。"
] | [
"TAGS\n#gguf #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-Aratako/Antler-7B-RP-v3 #license-apache-2.0 #region-us \n",
"# Antler-7B-RP-v3-GGUF",
"## 概要\nAratako/Antler-7B-RP-v3の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。"
] | [
83,
16,
53
] | [
"TAGS\n#gguf #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-Aratako/Antler-7B-RP-v3 #license-apache-2.0 #region-us \n# Antler-7B-RP-v3-GGUF## 概要\nAratako/Antler-7B-RP-v3の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。"
] |
reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/dialogsum_8455_bart-dialogsum | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"trl",
"ppo",
"reinforcement-learning",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T15:54:19+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
"# TRL Model\n\nThis is a TRL language model that has been fine-tuned with reinforcement learning to\n guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.",
"## Usage\n\nTo use this model for inference, first install the TRL library:\n\n\n\nYou can... | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# TRL Model\n\nThis is a TRL language model that has been fine-tuned with reinforcement learning to\n guide the model outputs according t... | [
47,
45,
50
] | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# TRL Model\n\nThis is a TRL language model that has been fine-tuned with reinforcement learning to\n guide the model outputs according to a va... |
text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - rfhuang/krishna
<Gallery />
## Model description
These are rfhuang/krishna 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 enabled: False.
Special ... | {"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 person named Krishna"} | rfhuang/krishna | null | [
"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"
] | null | 2024-04-17T15:56:09+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/krishna
<Gallery />
## Model description
These are rfhuang/krishna 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 for training: None.
## ... | [
"# AutoTrain SDXL LoRA DreamBooth - rfhuang/krishna\n\n<Gallery />",
"## Model description\n\nThese are rfhuang/krishna LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE used for traini... | [
"TAGS\n#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 \n",
"# AutoTrain SDXL LoRA DreamBooth - rfhuang/krishna\n\n<Gallery />",
"## Model description\n\nThese are... | [
68,
21,
63,
20,
25
] | [
"TAGS\n#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 \n# AutoTrain SDXL LoRA DreamBooth - rfhuang/krishna\n\n<Gallery />## Model description\n\nThese are rfhuang/kri... |
reinforcement-learning | stable-baselines3 |
# **TQC** Agent playing **PandaPickAndPlace-v1**
This is a trained model of a **TQC** agent playing **PandaPickAndPlace-v1**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable B... | {"library_name": "stable-baselines3", "tags": ["PandaPickAndPlace-v1", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "TQC", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaPickAndPlace-v1", "ty... | me-in-u/tqc-PandaPickAndPlace-v1 | null | [
"stable-baselines3",
"PandaPickAndPlace-v1",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-17T15:56:21+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaPickAndPlace-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# TQC Agent playing PandaPickAndPlace-v1
This is a trained model of a TQC agent playing PandaPickAndPlace-v1
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
##... | [
"# TQC Agent playing PandaPickAndPlace-v1\nThis is a trained model of a TQC agent playing PandaPickAndPlace-v1\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-trained agents in... | [
"TAGS\n#stable-baselines3 #PandaPickAndPlace-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# TQC Agent playing PandaPickAndPlace-v1\nThis is a trained model of a TQC agent playing PandaPickAndPlace-v1\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a ... | [
34,
75,
30,
10,
6
] | [
"TAGS\n#stable-baselines3 #PandaPickAndPlace-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# TQC Agent playing PandaPickAndPlace-v1\nThis is a trained model of a TQC agent playing PandaPickAndPlace-v1\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a traini... |
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. -->
# komodo-7b-50epochs-LoRA-LaMini-2e-4
This model is a fine-tuned version of [Yellow-AI-NLP/komodo-7b-base](https://huggingface.co/... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "Yellow-AI-NLP/komodo-7b-base", "model-index": [{"name": "komodo-7b-50epochs-LoRA-LaMini-2e-4", "results": []}]} | hanifsyarubany10/komodo-7b-50epochs-LoRA-LaMini-2e-4 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:Yellow-AI-NLP/komodo-7b-base",
"license:llama2",
"region:us"
] | null | 2024-04-17T15:57:43+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us
|
# komodo-7b-50epochs-LoRA-LaMini-2e-4
This model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# komodo-7b-50epochs-LoRA-LaMini-2e-4\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us \n",
"# komodo-7b-50epochs-LoRA-LaMini-2e-4\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.",
"## Model ... | [
58,
53,
7,
9,
9,
4,
133,
5,
58
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us \n# komodo-7b-50epochs-LoRA-LaMini-2e-4\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.## Model description\... |
text-generation | transformers |
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
``... | {"license": "apache-2.0"} | blockblockblock/Tess-2.0-Mixtral-8x22B-bpw3.7 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T16:06:13+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!Tesoro
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
# Training Methodology
Tess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset. T... | [
"# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.",
"# Prompt Format",
"# Training Methodology\nTess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B w... | [
42,
72,
3,
104,
6,
17,
69
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was tra... |
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": []} | samehfarouk/Mistral-7B-Instruct-v0.2_int8 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T16:07:00+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers m... | [
51,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been... |
object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# modelStructure_TT_V3
This model is a fine-tuned version of [microsoft/table-transformer-structure-recognition-v1.1-all](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/table-transformer-structure-recognition-v1.1-all", "model-index": [{"name": "modelStructure_TT_V3", "results": []}]} | rjhugs/modelStructure_TT_V3 | null | [
"transformers",
"pytorch",
"table-transformer",
"object-detection",
"generated_from_trainer",
"base_model:microsoft/table-transformer-structure-recognition-v1.1-all",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:07:31+00:00 | [] | [] | TAGS
#transformers #pytorch #table-transformer #object-detection #generated_from_trainer #base_model-microsoft/table-transformer-structure-recognition-v1.1-all #license-mit #endpoints_compatible #region-us
|
# modelStructure_TT_V3
This model is a fine-tuned version of microsoft/table-transformer-structure-recognition-v1.1-all on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trainin... | [
"# modelStructure_TT_V3\n\nThis model is a fine-tuned version of microsoft/table-transformer-structure-recognition-v1.1-all on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informat... | [
"TAGS\n#transformers #pytorch #table-transformer #object-detection #generated_from_trainer #base_model-microsoft/table-transformer-structure-recognition-v1.1-all #license-mit #endpoints_compatible #region-us \n",
"# modelStructure_TT_V3\n\nThis model is a fine-tuned version of microsoft/table-transformer-structur... | [
58,
41,
7,
9,
9,
4,
93,
5,
44
] | [
"TAGS\n#transformers #pytorch #table-transformer #object-detection #generated_from_trainer #base_model-microsoft/table-transformer-structure-recognition-v1.1-all #license-mit #endpoints_compatible #region-us \n# modelStructure_TT_V3\n\nThis model is a fine-tuned version of microsoft/table-transformer-structure-reco... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/CultriX/MonaTrix-v4-7B-DPO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "CultriX/MonaTrix-v4-7B-DPO", "quantized_by": "mradermacher"} | mradermacher/MonaTrix-v4-7B-DPO-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:CultriX/MonaTrix-v4-7B-DPO",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:10:46+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-CultriX/MonaTrix-v4-7B-DPO #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-CultriX/MonaTrix-v4-7B-DPO #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
45
] | [
"TAGS\n#transformers #gguf #en #base_model-CultriX/MonaTrix-v4-7B-DPO #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
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. -->
# Llama-2-7b-chat-hf_esnli_1000_5ep
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/m... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "Llama-2-7b-chat-hf_esnli_1000_5ep", "results": []}]} | mohsenfayyaz/Llama-2-7b-chat-hf_esnli_1000_5ep | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"generated_from_trainer",
"conversational",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T16:14:30+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #trl #sft #generated_from_trainer #conversational #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Llama-2-7b-chat-hf_esnli_1000_5ep
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# Llama-2-7b-chat-hf_esnli_1000_5ep\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
"TAGS\n#transformers #safetensors #llama #text-generation #trl #sft #generated_from_trainer #conversational #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Llama-2-7b-chat-hf_esnli_1000_5ep\n\nThis model is a fine-... | [
77,
54,
7,
9,
9,
4,
111,
5,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #trl #sft #generated_from_trainer #conversational #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Llama-2-7b-chat-hf_esnli_1000_5ep\n\nThis model is a fine-tuned ... |
text-generation | transformers | # bunnycore/SmartToxic-7B AWQ
- Model creator: [bunnycore](https://huggingface.co/bunnycore)
- Original model: [SmartToxic-7B](https://huggingface.co/bunnycore/SmartToxic-7B)
## Model Summary
SmartToxic-7B is a creative and smart language model designed to provide users with engaging and satisfying responses. This m... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "pipeline_tag": "text-generation", "inference": false, "prompt_template": "<|im_start|>system\n{system_message}... | solidrust/SmartToxic-7B-AWQ | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"chatml",
"conversational",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T16:17:25+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #4-bit #AWQ #autotrain_compatible #endpoints_compatible #chatml #conversational #license-apache-2.0 #text-generation-inference #region-us
| # bunnycore/SmartToxic-7B AWQ
- Model creator: bunnycore
- Original model: SmartToxic-7B
## Model Summary
SmartToxic-7B is a creative and smart language model designed to provide users with engaging and satisfying responses. This model is a merger of several high-performing models, resulting in a unique blend of cap... | [
"# bunnycore/SmartToxic-7B AWQ\n\n- Model creator: bunnycore\n- Original model: SmartToxic-7B",
"## Model Summary\n\nSmartToxic-7B is a creative and smart language model designed to provide users with engaging and satisfying responses. This model is a merger of several high-performing models, resulting in a uniqu... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #4-bit #AWQ #autotrain_compatible #endpoints_compatible #chatml #conversational #license-apache-2.0 #text-generation-inference #region-us \n",
"# bunnycore/SmartToxic-7B AWQ\n\n- Model creator: bunnycore\n- Original model: ... | [
65,
30,
69,
5,
7,
6,
172,
7
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #4-bit #AWQ #autotrain_compatible #endpoints_compatible #chatml #conversational #license-apache-2.0 #text-generation-inference #region-us \n# bunnycore/SmartToxic-7B AWQ\n\n- Model creator: bunnycore\n- Original model: SmartT... |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | BWangila/Ml-Agents-Pyramids | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-17T16:18:42+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n",
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation... | [
35,
200
] | [
"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\... |
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. -->
# JJJayyyy/distilgpt2-finetuned-cyber-v3
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unk... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilgpt2", "model-index": [{"name": "JJJayyyy/distilgpt2-finetuned-cyber-v3", "results": []}]} | JJJayyyy/distilgpt2-finetuned-cyber-v3 | null | [
"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"
] | null | 2024-04-17T16:22:39+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
| JJJayyyy/distilgpt2-finetuned-cyber-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: 4.7357
* Validation Loss: 4.7399
* Epoch: 2
Model description
-----------------
More inform... | [
"### 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",
... | [
"TAGS\n#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 \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\... | [
66,
118,
5,
38
] | [
"TAGS\n#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 \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n*... |
text-generation | transformers | # ghost_neural3_08_08_08_07_65
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:
* model_llm/neural-chat... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | TunyTrinh/ghost_neural3_08_08_08_07_65 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T16:22:51+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # ghost_neural3_08_08_08_07_65
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:
* model_llm/neural-chat-7b-v3-3
* model_llm/ghost-7b-v0.9.1
... | [
"# ghost_neural3_08_08_08_07_65\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* model_llm/neural-chat-7b-v3-3\n* ... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# ghost_neural3_08_08_08_07_65\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"#... | [
42,
30,
4,
17,
48,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# ghost_neural3_08_08_08_07_65\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### Merge Method\n\... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SuperPowerMz/SON_v1_llama-7B-QLoRA-Peft | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T16:25:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
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": []} | HikariLight/Mistral-UFT-6-5e-05-1-all | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:26:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# coinplusfire_llm_full_2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "coinplusfire_llm_full_2", "results": []}]} | coinplusfire/coinplusfire_llm_full_2 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T16:27:18+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| coinplusfire\_llm\_full\_2
==========================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1383
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: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #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: 4\n* se... | [
48,
151,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #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: 4\n* seed: 42... |
null | null | # Hello | {} | RIT4AGI/System2VLM | null | [
"region:us"
] | null | 2024-04-17T16:27:58+00:00 | [] | [] | TAGS
#region-us
| # Hello | [
"# Hello"
] | [
"TAGS\n#region-us \n",
"# Hello"
] | [
5,
2
] | [
"TAGS\n#region-us \n# Hello"
] |
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": []} | HenryCai1129/LlamaAdapter-llama2-happy-1000.009 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:28:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text2text-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": []} | alshelt/ctrlsum-t5-cnndm | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T16:30:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
text-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-multilingual-cased-Actitud_de_tener_la_razon_Esp
This model is a fine-tuned version of [distilbert-base-multilin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "distilbert-base-multilingual-cased-Actitud_de_tener_la_razon_Esp", "results": []}]} | rogelioplatt/distilbert-base-multilingual-cased-Actitud_de_tener_la_razon_Esp | null | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:30:57+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-multilingual-cased-Actitud\_de\_tener\_la\_razon\_Esp
=====================================================================
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2706
* Accuracy... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #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* learning\\_rate: 2e-05\n* train\\_b... | [
47,
101,
5,
44
] | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #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* learning\\_rate: 2e-05\n* train\\_batch\\... |
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. -->
# Whisper-base-Ar-MDD
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on a... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper-base-Ar-MDD", "results": []}]} | nrshoudi/Whisper-base-Ar-MDD | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:openai/whisper-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T16:31:26+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-openai/whisper-base #license-apache-2.0 #region-us
| Whisper-base-Ar-MDD
===================
This model is a fine-tuned version of openai/whisper-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2159
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 6\n* eval\\_batch\\_size: 6\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-openai/whisper-base #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 6\n* eval\\_batch\\_size: 6\n* seed: 42\n* optimi... | [
37,
127,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-openai/whisper-base #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 6\n* eval\\_batch\\_size: 6\n* seed: 42\n* optimizer: A... |
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": []} | Enagamirzayev/whisper-small-llm-lingo-adapters_l | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:31:57+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Enagamirzayev/whisper-small-llm-lingo_l | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:32:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has b... | [
34,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically ... |
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": []} | crich/Llama-2-7b-chat-hf-itbls-modify | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T16:34:35+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
text-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. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | carlodallaquercia/finetuning-sentiment-model-3000-samples | null | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:36:22+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4137
- Accuracy: 0.8833
- F1: 0.8860
## Model description
More information needed
## Intended uses & limitations
More ... | [
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.4137\n- Accuracy: 0.8833\n- F1: 0.8860",
"## Model description\n\nMore information needed",
"## Intended uses & ... | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt... | [
47,
67,
7,
9,
9,
4,
93,
5,
44
] | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achie... |
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. -->
# komodo-7b-100epochs-LoRA-LaMini-2e-4
This model is a fine-tuned version of [Yellow-AI-NLP/komodo-7b-base](https://huggingface.co... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "Yellow-AI-NLP/komodo-7b-base", "model-index": [{"name": "komodo-7b-100epochs-LoRA-LaMini-2e-4", "results": []}]} | hanifsyarubany10/komodo-7b-100epochs-LoRA-LaMini-2e-4 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:Yellow-AI-NLP/komodo-7b-base",
"license:llama2",
"region:us"
] | null | 2024-04-17T16:36:43+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us
|
# komodo-7b-100epochs-LoRA-LaMini-2e-4
This model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
"# komodo-7b-100epochs-LoRA-LaMini-2e-4\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed"... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us \n",
"# komodo-7b-100epochs-LoRA-LaMini-2e-4\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.",
"## Model... | [
58,
53,
7,
9,
9,
4,
133,
5,
58
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us \n# komodo-7b-100epochs-LoRA-LaMini-2e-4\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.## Model description... |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_word2vec_cbow_s300
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_word2vec_cbow_s300 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:38:03+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_word2vec_cbow_s300
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for... | [
"# mteb-pt/average_pt_nilc_word2vec_cbow_s300\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 300 dimensional dense vector space and can b... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_word2vec_cbow_s300\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings... | [
24,
93,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_word2vec_cbow_s300\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can b... |
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": []} | sin66x/wav2vec2-base-960h-demo-colab | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:38:19+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)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
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. -->
# amazon_helpfulness_classification_on_base_no_pretraining
This model is a fine-tuned version of [roberta-base](https://huggingfac... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "amazon_helpfulness_classification_on_base_no_pretraining", "results": []}]} | BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:38:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| amazon\_helpfulness\_classification\_on\_base\_no\_pretraining
==============================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4611
* Accuracy: 0.8664
* F1 Macro: 0.6902
Mode... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate:... | [
48,
119,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05... |
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. -->
# komodo-7b-100epochs-LoRA-LaMini-1e-3
This model is a fine-tuned version of [Yellow-AI-NLP/komodo-7b-base](https://huggingface.co... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "Yellow-AI-NLP/komodo-7b-base", "model-index": [{"name": "komodo-7b-100epochs-LoRA-LaMini-1e-3", "results": []}]} | hanifsyarubany10/komodo-7b-100epochs-LoRA-LaMini-1e-3 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:Yellow-AI-NLP/komodo-7b-base",
"license:llama2",
"region:us"
] | null | 2024-04-17T16:38:36+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us
|
# komodo-7b-100epochs-LoRA-LaMini-1e-3
This model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
"# komodo-7b-100epochs-LoRA-LaMini-1e-3\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed"... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us \n",
"# komodo-7b-100epochs-LoRA-LaMini-1e-3\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.",
"## Model... | [
58,
53,
7,
9,
9,
4,
132,
5,
58
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Yellow-AI-NLP/komodo-7b-base #license-llama2 #region-us \n# komodo-7b-100epochs-LoRA-LaMini-1e-3\n\nThis model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the generator dataset.## Model description... |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_word2vec_skip_s100
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_word2vec_skip_s100 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:39:36+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_word2vec_skip_s100
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 100 dimensional dense vector space and can be used for... | [
"# mteb-pt/average_pt_nilc_word2vec_skip_s100\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 100 dimensional dense vector space and can b... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_word2vec_skip_s100\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings... | [
24,
91,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_word2vec_skip_s100\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can b... |
text-generation | peft |
# Model Card for molbal/novelstral-7b
Short response, text completion model trained on various novels.
## Model Details
This is a text completion model, designed to advance a story a few lines at a time.
- **Developed by:** https://huggingface.co/molbal
- **Model type:** Mistral 7b fine-tune
- **Language(s) (NL... | {"language": ["en"], "license": "wtfpl", "library_name": "peft", "base_model": "unsloth/mistral-7b-bnb-4bit", "pipeline_tag": "text-generation"} | molbal/novelstral-7b | null | [
"peft",
"gguf",
"text-generation",
"en",
"base_model:unsloth/mistral-7b-bnb-4bit",
"license:wtfpl",
"region:us"
] | null | 2024-04-17T16:40:26+00:00 | [] | [
"en"
] | TAGS
#peft #gguf #text-generation #en #base_model-unsloth/mistral-7b-bnb-4bit #license-wtfpl #region-us
|
# Model Card for molbal/novelstral-7b
Short response, text completion model trained on various novels.
## Model Details
This is a text completion model, designed to advance a story a few lines at a time.
- Developed by: URL
- Model type: Mistral 7b fine-tune
- Language(s) (NLP): English only
- License: wtfpl
- ... | [
"# Model Card for molbal/novelstral-7b\n\nShort response, text completion model trained on various novels.",
"## Model Details\n\nThis is a text completion model, designed to advance a story a few lines at a time. \n\n- Developed by: URL\n- Model type: Mistral 7b fine-tune\n- Language(s) (NLP): English only\n- Li... | [
"TAGS\n#peft #gguf #text-generation #en #base_model-unsloth/mistral-7b-bnb-4bit #license-wtfpl #region-us \n",
"# Model Card for molbal/novelstral-7b\n\nShort response, text completion model trained on various novels.",
"## Model Details\n\nThis is a text completion model, designed to advance a story a few line... | [
44,
24,
110,
19
] | [
"TAGS\n#peft #gguf #text-generation #en #base_model-unsloth/mistral-7b-bnb-4bit #license-wtfpl #region-us \n# Model Card for molbal/novelstral-7b\n\nShort response, text completion model trained on various novels.## Model Details\n\nThis is a text completion model, designed to advance a story a few lines at a time.... |
null | null | EXL2 quants of [Mixtral 8x22B Instruct v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1/tree/main)
[2.30 bits per weight](https://huggingface.co/turboderp/Mixtral-8x22B-Instruct-v0.1-exl2/tree/2.3bpw)
[2.50 bits per weight](https://huggingface.co/turboderp/Mixtral-8x22B-Instruct-v0.1-exl2/tree/2... | {} | turboderp/Mixtral-8x22B-Instruct-v0.1-exl2 | null | [
"region:us"
] | null | 2024-04-17T16:40:44+00:00 | [] | [] | TAGS
#region-us
| EXL2 quants of Mixtral 8x22B Instruct v0.1
2.30 bits per weight
2.50 bits per weight
2.70 bits per weight
3.00 bits per weight
3.50 bits per weight
3.75 bits per weight
4.00 bits per weight
4.50 bits per weight
5.00 bits per weight
6.00 bits per weight
URL | [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
"TAGS\n#region-us \n"
] |
null | peft |
# Medical-Mixtral-7B-v2k
[](https://ruslanmv.com/)
## Description
Fine-tuned Mixtral model for answering medical assistance questions. This model is a novel version of mistralai/Mistral-7B-Instruct-v0.2, adapted to a subset of 2.0k records from the AI Medical Chatbot dataset, which contains 250k records... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["text-generation-inference", "transformers", "ruslanmv", "mistral", "trl"], "datasets": ["ruslanmv/ai-medical-chatbot"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | ruslanmv/Medical-Mixtral-7B-v2k | null | [
"peft",
"safetensors",
"text-generation-inference",
"transformers",
"ruslanmv",
"mistral",
"trl",
"en",
"dataset:ruslanmv/ai-medical-chatbot",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T16:41:18+00:00 | [] | [
"en"
] | TAGS
#peft #safetensors #text-generation-inference #transformers #ruslanmv #mistral #trl #en #dataset-ruslanmv/ai-medical-chatbot #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# Medical-Mixtral-7B-v2k
![](URL
## Description
Fine-tuned Mixtral model for answering medical assistance questions. This model is a novel version of mistralai/Mistral-7B-Instruct-v0.2, adapted to a subset of 2.0k records from the AI Medical Chatbot dataset, which contains 250k records (URL The purpose of this model i... | [
"# Medical-Mixtral-7B-v2k\n![](URL",
"## Description\nFine-tuned Mixtral model for answering medical assistance questions. This model is a novel version of mistralai/Mistral-7B-Instruct-v0.2, adapted to a subset of 2.0k records from the AI Medical Chatbot dataset, which contains 250k records (URL The purpose of t... | [
"TAGS\n#peft #safetensors #text-generation-inference #transformers #ruslanmv #mistral #trl #en #dataset-ruslanmv/ai-medical-chatbot #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us \n",
"# Medical-Mixtral-7B-v2k\n![](URL",
"## Description\nFine-tuned Mixtral model for answering medi... | [
78,
18,
87,
39,
3,
13,
38,
45,
71
] | [
"TAGS\n#peft #safetensors #text-generation-inference #transformers #ruslanmv #mistral #trl #en #dataset-ruslanmv/ai-medical-chatbot #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us \n# Medical-Mixtral-7B-v2k\n model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_word2vec_skip_s300 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:41:44+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_word2vec_skip_s300
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for... | [
"# mteb-pt/average_pt_nilc_word2vec_skip_s300\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 300 dimensional dense vector space and can b... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_word2vec_skip_s300\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings... | [
24,
92,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_word2vec_skip_s300\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can b... |
null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
| {"library_name": "peft"} | Laugoon/squad-bloom-3b | null | [
"peft",
"safetensors",
"region:us"
] | null | 2024-04-17T16:42:08+00:00 | [] | [] | TAGS
#peft #safetensors #region-us
| ## Training procedure
### Framework versions
- PEFT 0.4.0
| [
"## Training procedure",
"### Framework versions\n\n\n- PEFT 0.4.0"
] | [
"TAGS\n#peft #safetensors #region-us \n",
"## Training procedure",
"### Framework versions\n\n\n- PEFT 0.4.0"
] | [
12,
4,
13
] | [
"TAGS\n#peft #safetensors #region-us \n## Training procedure### Framework versions\n\n\n- PEFT 0.4.0"
] |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_word2vec_skip_s50
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](h... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_word2vec_skip_s50 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:42:43+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_word2vec_skip_s50
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 50 dimensional dense vector space and can be used for t... | [
"# mteb-pt/average_pt_nilc_word2vec_skip_s50\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 50 dimensional dense vector space and can be ... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_word2vec_skip_s50\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings ... | [
24,
91,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_word2vec_skip_s50\n\nThis is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/CultriX/NeuralShadow-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "CultriX/NeuralShadow-7B", "quantized_by": "mradermacher"} | mradermacher/NeuralShadow-7B-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:CultriX/NeuralShadow-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:43:04+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-CultriX/NeuralShadow-7B #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 #mergekit #merge #en #base_model-CultriX/NeuralShadow-7B #endpoints_compatible #region-us \n"
] | [
38
] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-CultriX/NeuralShadow-7B #endpoints_compatible #region-us \n"
] |
fill-mask | 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. -->
# github_cybersecurity_READMEs
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "github_cybersecurity_READMEs", "results": []}]} | Tiffany0313/github_cybersecurity_READMEs | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"fill-mask",
"generated_from_trainer",
"base_model:distilroberta-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:44:01+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| github\_cybersecurity\_READMEs
==============================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4702
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-distilroberta-base #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* learning\\_ra... | [
56,
103,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-distilroberta-base #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* learning\\_rate: 2e... |
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": ["trl", "sft"]} | aminlouhichi/gemma_text_tosqlV2 | null | [
"transformers",
"safetensors",
"trl",
"sft",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:44:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #trl #sft #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 #trl #sft #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\... | [
32,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #trl #sft #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by:... |
text-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. -->
# multilingual-e5-large-guardrail-unknown_task-classifier-training
This model is a fine-tuned version of [intfloat/multilingual-e5... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-unknown_task-classifier-training", "results": []}]} | tosh97/multilingual-e5-large-guardrail-unknown_task-classifier-training | null | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:intfloat/multilingual-e5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:44:30+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# multilingual-e5-large-guardrail-unknown_task-classifier-training
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
"# multilingual-e5-large-guardrail-unknown_task-classifier-training\n\nThis model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\... | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# multilingual-e5-large-guardrail-unknown_task-classifier-training\n\nThis model is a fine-tuned version ... | [
57,
48,
7,
9,
9,
4,
93,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us \n# multilingual-e5-large-guardrail-unknown_task-classifier-training\n\nThis model is a fine-tuned version of int... |
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. -->
# amazon_helpfulness_classification_on_base_from_DAPT_5M_pretraining
This model is a fine-tuned version of [BigTMiami/amazon_pretr... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/amazon_pretraining_5M_model_corrected", "model-index": [{"name": "amazon_helpfulness_classification_on_base_from_DAPT_5M_pretraining", "results": []}]} | BigTMiami/amazon_helpfulness_classification_on_base_from_DAPT_5M_pretraining | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:BigTMiami/amazon_pretraining_5M_model_corrected",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:45:26+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/amazon_pretraining_5M_model_corrected #license-mit #autotrain_compatible #endpoints_compatible #region-us
| amazon\_helpfulness\_classification\_on\_base\_from\_DAPT\_5M\_pretraining
==========================================================================
This model is a fine-tuned version of BigTMiami/amazon\_pretraining\_5M\_model\_corrected on an unknown dataset.
It achieves the following results on the evaluation set... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/amazon_pretraining_5M_model_corrected #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used durin... | [
62,
119,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/amazon_pretraining_5M_model_corrected #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during trai... |
text-generation | transformers |
<img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 1.7-7B-hf
OLMo 1.7 7B is the latest version of the original [OLMo 7B](https://huggingface.co/allenai/OLMo-7B) model rocking a 24 point increase... | {"language": ["en"], "license": "apache-2.0", "datasets": ["allenai/dolma"]} | allenai/OLMo-1.7-7B-hf | null | [
"transformers",
"safetensors",
"olmo",
"text-generation",
"en",
"dataset:allenai/dolma",
"arxiv:2402.00838",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:46:55+00:00 | [
"2402.00838"
] | [
"en"
] | TAGS
#transformers #safetensors #olmo #text-generation #en #dataset-allenai/dolma #arxiv-2402.00838 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| <img src="URL alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
Model Card for OLMo 1.7-7B-hf
=============================
OLMo 1.7 7B is the latest version of the original OLMo 7B model rocking a 24 point increase in MMLU, among other evaluations improvements, from an im... | [
"### Model Description\n\n\n* Developed by: Allen Institute for AI (AI2)\n* Supported by: Databricks, Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, AMD, CSC (Lumi Supercomputer), UW\n* Model type: a Transformer style autoregressive language model.\n* Language(s) (NLP)... | [
"TAGS\n#transformers #safetensors #olmo #text-generation #en #dataset-allenai/dolma #arxiv-2402.00838 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Model Description\n\n\n* Developed by: Allen Institute for AI (AI2)\n* Supported by: Databricks, Kempner Institute for the Stud... | [
58,
152,
78,
211,
170,
64,
284,
15,
542
] | [
"TAGS\n#transformers #safetensors #olmo #text-generation #en #dataset-allenai/dolma #arxiv-2402.00838 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Model Description\n\n\n* Developed by: Allen Institute for AI (AI2)\n* Supported by: Databricks, Kempner Institute for the Study of N... |
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. -->
# amazon_helpfulness_classification_on_base_from_TAPT_helpfulness_pretraining
This model is a fine-tuned version of [BigTMiami/tap... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/tapt_helpfulness_base_pretraining_model", "model-index": [{"name": "amazon_helpfulness_classification_on_base_from_TAPT_helpfulness_pretraining", "results": []}]} | BigTMiami/amazon_helpfulness_classification_on_base_from_TAPT_helpfulness_pretraining | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:BigTMiami/tapt_helpfulness_base_pretraining_model",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:48:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/tapt_helpfulness_base_pretraining_model #license-mit #autotrain_compatible #endpoints_compatible #region-us
| amazon\_helpfulness\_classification\_on\_base\_from\_TAPT\_helpfulness\_pretraining
===================================================================================
This model is a fine-tuned version of BigTMiami/tapt\_helpfulness\_base\_pretraining\_model on an unknown dataset.
It achieves the following results o... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/tapt_helpfulness_base_pretraining_model #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used dur... | [
63,
119,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/tapt_helpfulness_base_pretraining_model #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during tr... |
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": "NousResearch/Llama-2-7b-chat-hf"} | Jingy2000/AITherapist-7B-v0.1 | null | [
"peft",
"pytorch",
"llama",
"arxiv:1910.09700",
"base_model:NousResearch/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-17T16:48:31+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #pytorch #llama #arxiv-1910.09700 #base_model-NousResearch/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #pytorch #llama #arxiv-1910.09700 #base_model-NousResearch/Llama-2-7b-chat-hf #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: ... | [
49,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
13
] | [
"TAGS\n#peft #pytorch #llama #arxiv-1910.09700 #base_model-NousResearch/Llama-2-7b-chat-hf #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from... |
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. -->
# model_hh_shp3_200
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp3_200", "results": []}]} | guoyu-zhang/model_hh_shp3_200 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T16:48:49+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_shp3\_200
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2700
* Rewards/chosen: -2.0808
* Rewards/rejected: -2.6185
* Rewards/accuracies: 0.5300
* Rewards/margins: 0.5377
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* s... | [
52,
140,
5,
52
] | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 4... |
automatic-speech-recognition | 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. -->
# xlsr_hindi
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-3... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "xlsr_hindi", "results": []}]} | suggisingh/xlsr_hindi | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_16_1",
"base_model:facebook/wav2vec2-xls-r-300m",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:49:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_1 #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #endpoints_compatible #region-us
| xlsr\_hindi
===========
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9242
* Wer : 0.4032
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 3\n* total\\_train\\_batch\\_size: 30\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_1 #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used du... | [
78,
151,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_1 #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during t... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# multilingual-e5-large-guardrail-protected-classes-classifier-training
This model is a fine-tuned version of [intfloat/multilingu... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-protected-classes-classifier-training", "results": []}]} | tosh97/multilingual-e5-large-guardrail-protected-classes-classifier-training | null | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:intfloat/multilingual-e5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:53:01+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# multilingual-e5-large-guardrail-protected-classes-classifier-training
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informati... | [
"# multilingual-e5-large-guardrail-protected-classes-classifier-training\n\nThis model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation ... | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# multilingual-e5-large-guardrail-protected-classes-classifier-training\n\nThis model is a fine-tuned ver... | [
57,
48,
7,
9,
9,
4,
93,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us \n# multilingual-e5-large-guardrail-protected-classes-classifier-training\n\nThis model is a fine-tuned version o... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-7b-gem
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown datas... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-7b-gem", "results": []}]} | himanshue2e/gemma-7b-gem | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-17T16:55:39+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| gemma-7b-gem
============
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1198
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gra... | [
39,
124,
5,
58
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\... |
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": []} | himanshue2e/gemma-7b-gem-finetune | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T16:57:13+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)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
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": []} | heyllm234/sc50 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:01:01+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)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
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": []} | ryanu/EEVE-summarize-10.8b-v0.1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T17:01:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | MLIsaac/Reinforce-Pixelcopter-PLE-v0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-17T17:02:25+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of ... | [
37,
56
] | [
"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
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": []} | OwOOwO/dumbo-krillin46 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T17:02:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
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. -->
# multilingual-e5-large-guardrail-illegal-activities-classifier-training
This model is a fine-tuned version of [intfloat/multiling... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-illegal-activities-classifier-training", "results": []}]} | tosh97/multilingual-e5-large-guardrail-illegal-activities-classifier-training | null | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:intfloat/multilingual-e5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:03:02+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# multilingual-e5-large-guardrail-illegal-activities-classifier-training
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
"# multilingual-e5-large-guardrail-illegal-activities-classifier-training\n\nThis model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation... | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# multilingual-e5-large-guardrail-illegal-activities-classifier-training\n\nThis model is a fine-tuned ve... | [
57,
48,
7,
9,
9,
4,
93,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us \n# multilingual-e5-large-guardrail-illegal-activities-classifier-training\n\nThis model is a fine-tuned version ... |
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": []} | 0x0mom/sl21 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:03:14+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)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
image-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": []} | karan99300/ConvNext-finetuned-CIFAR100 | null | [
"transformers",
"safetensors",
"convnext",
"image-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-17T17:03:55+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #convnext #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #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 #convnext #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #convnext #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
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": []} | cilantro9246/8dj4sqt | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T17:04:30+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
null | null |
# Multi_verse_modelYamshadowexperiment28-7B
Multi_verse_modelYamshadowexperiment28-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/YamshadowExperiment28-7B)
## 🧩 Configu... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/YamshadowExperiment28-7B"]} | automerger/Multi_verse_modelYamshadowexperiment28-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:automerger/YamshadowExperiment28-7B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T17:04:36+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #base_model-automerger/YamshadowExperiment28-7B #license-apache-2.0 #region-us
|
# Multi_verse_modelYamshadowexperiment28-7B
Multi_verse_modelYamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/YamshadowExperiment28-7B
## Configuration
## Usage
| [
"# Multi_verse_modelYamshadowexperiment28-7B\n\nMulti_verse_modelYamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.\n* automerger/YamshadowExperiment28-7B",
"## Configuration",
"## Usage"
] | [
"TAGS\n#merge #mergekit #lazymergekit #automerger #base_model-automerger/YamshadowExperiment28-7B #license-apache-2.0 #region-us \n",
"# Multi_verse_modelYamshadowexperiment28-7B\n\nMulti_verse_modelYamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.\n* auto... | [
48,
67,
3,
3
] | [
"TAGS\n#merge #mergekit #lazymergekit #automerger #base_model-automerger/YamshadowExperiment28-7B #license-apache-2.0 #region-us \n# Multi_verse_modelYamshadowexperiment28-7B\n\nMulti_verse_modelYamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.\n* automerger... |
reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "m... | amine-01/CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-17T17:04:44+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcemen... | [
32,
46
] | [
"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - khirodsahoo93/MDP_poster_with_Nitin_Seth
<Gallery />
## Model description
These are khirodsaho... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | khirodsahoo93/MDP_poster_with_Nitin_Seth | null | [
"diffusers",
"text-to-image",
"diffusers-training",
"dora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-17T17:07:18+00:00 | [] | [] | TAGS
#diffusers #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - khirodsahoo93/MDP_poster_with_Nitin_Seth
<Gallery />
## Model description
These are khirodsahoo93/MDP_poster_with_Nitin_Seth 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.
Sp... | [
"# SDXL LoRA DreamBooth - khirodsahoo93/MDP_poster_with_Nitin_Seth\n\n<Gallery />",
"## Model description\n\nThese are khirodsahoo93/MDP_poster_with_Nitin_Seth LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enable... | [
"TAGS\n#diffusers #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# SDXL LoRA DreamBooth - khirodsahoo93/MDP_poster_with_Nitin_Seth\n\n<Gallery />",
"## Model ... | [
69,
33,
93,
19,
25,
6,
7,
23,
17
] | [
"TAGS\n#diffusers #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n# SDXL LoRA DreamBooth - khirodsahoo93/MDP_poster_with_Nitin_Seth\n\n<Gallery />## Model description\... |
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": []} | Aviral2412/fineturning_WithoutPretraining | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:09:49+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)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
text-generation | llama.cpp |
## Valerie v0.1 Model Card
## Overview
Valerie v0.1 is a custom language model created using `llama.cpp` (commit: 532c173) with a context length of 256 tokens, embedding length of 256, 8 heads, and 16 layers. This model was pretrained on a dataset consisting of [female V's](https://cyberpunk.fandom.com/wiki/V_(chara... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "llama.cpp", "tags": ["text-generation", "artificial-intelligence", "not-for-all-audiences"], "pipeline_tag": "text-generation", "inference": false, "license_name": "creative-commons", "license_link": "https://creativecommons.org/licenses/by-nc-sa/4.0/d... | teleprint-me/cyberpunk-valerie-v0.1 | null | [
"llama.cpp",
"gguf",
"text-generation",
"artificial-intelligence",
"not-for-all-audiences",
"en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-04-17T17:11:30+00:00 | [] | [
"en"
] | TAGS
#llama.cpp #gguf #text-generation #artificial-intelligence #not-for-all-audiences #en #license-cc-by-nc-sa-4.0 #region-us
| Valerie v0.1 Model Card
-----------------------
Overview
--------
Valerie v0.1 is a custom language model created using 'URL' (commit: 532c173) with a context length of 256 tokens, embedding length of 256, 8 heads, and 16 layers. This model was pretrained on a dataset consisting of female V's) dialog from Cyberpunk... | [
"### Full sampling\n\n\n\nThe 'URL' release represents a single epoch of all 51443 samples, completing over 1700 iterations over the entire dataset, and took approximately 3 hours for training.",
"### Repeat sampling\n\n\n\nThe 'URL' release represents two epochs of all 51443 samples, completing over 3600 iterati... | [
"TAGS\n#llama.cpp #gguf #text-generation #artificial-intelligence #not-for-all-audiences #en #license-cc-by-nc-sa-4.0 #region-us \n",
"### Full sampling\n\n\n\nThe 'URL' release represents a single epoch of all 51443 samples, completing over 1700 iterations over the entire dataset, and took approximately 3 hours ... | [
47,
41,
42,
245,
17,
241,
33,
37,
69
] | [
"TAGS\n#llama.cpp #gguf #text-generation #artificial-intelligence #not-for-all-audiences #en #license-cc-by-nc-sa-4.0 #region-us \n### Full sampling\n\n\n\nThe 'URL' release represents a single epoch of all 51443 samples, completing over 1700 iterations over the entire dataset, and took approximately 3 hours for tr... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0417MADP4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0417MADP4", "results": []}]} | Litzy619/V0417MADP4 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-17T17:13:18+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0417MADP4
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1454
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulatio... | [
29,
160,
5,
47
] | [
"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_st... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0417MADP2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0417MADP2", "results": []}]} | Litzy619/V0417MADP2 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-17T17:13:20+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0417MADP2
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1574
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulatio... | [
29,
160,
5,
47
] | [
"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_st... |
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"]} | Existance/Mistral-7b-Hindi-SFT | null | [
"transformers",
"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:14:21+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n... | [
30,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: ... |
image-classification | transformers |
# rare-puppers
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/hugging... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | emlababia/rare-puppers | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"pytorch",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:19:15+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# rare-puppers
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
## Example Images
#### cat
!cat
#### chicken
!chicken
#### cow
!cow
#### dog
!dog
#### fish
!fish | [
"# rare-puppers\n\n\nAutogenerated by HuggingPics️\n\nCreate your own image classifier for anything by running the demo on Google Colab.\n\nReport any issues with the demo at the github repo.",
"## Example Images",
"#### cat\n\n!cat",
"#### chicken\n\n!chicken",
"#### cow\n\n!cow",
"#### dog\n\n!dog",
"... | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"# rare-puppers\n\n\nAutogenerated by HuggingPics️\n\nCreate your own image classifier for anything by running the demo on Google Colab.\n\nRepor... | [
44,
43,
4,
7,
7,
7,
7,
7
] | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us \n# rare-puppers\n\n\nAutogenerated by HuggingPics️\n\nCreate your own image classifier for anything by running the demo on Google Colab.\n\nReport any ... |
feature-extraction | transformers | # medical-qa
## 🚀 Overview
This project focuses on developing a semantic search system for medical question answering fine-tuning pre-trained language models. The project utilizes datasets sourced from Hugging Face, containing medical question-answer pairs, which are processed to ensure compatibility with the chosen... | {} | aleynahukmet/bge-medical-small-en-v1.5 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:20:01+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # medical-qa
## Overview
This project focuses on developing a semantic search system for medical question answering fine-tuning pre-trained language models. The project utilizes datasets sourced from Hugging Face, containing medical question-answer pairs, which are processed to ensure compatibility with the chosen m... | [
"# medical-qa",
"## Overview\n\nThis project focuses on developing a semantic search system for medical question answering fine-tuning pre-trained language models. The project utilizes datasets sourced from Hugging Face, containing medical question-answer pairs, which are processed to ensure compatibility with t... | [
"TAGS\n#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us \n",
"# medical-qa",
"## Overview\n\nThis project focuses on developing a semantic search system for medical question answering fine-tuning pre-trained language models. The project utilizes datasets sourced from Huggin... | [
22,
5,
104,
92,
439,
169,
17,
43,
22
] | [
"TAGS\n#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us \n# medical-qa## Overview\n\nThis project focuses on developing a semantic search system for medical question answering fine-tuning pre-trained language models. The project utilizes datasets sourced from Hugging Face, cont... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DZgas/GIGABATEMAN-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a w... | {"language": ["en"], "library_name": "transformers", "tags": ["mistral", "llama", "nsfw", "roleplay", "merge"], "base_model": "DZgas/GIGABATEMAN-7B", "quantized_by": "mradermacher"} | mradermacher/GIGABATEMAN-7B-GGUF | null | [
"transformers",
"gguf",
"mistral",
"llama",
"nsfw",
"roleplay",
"merge",
"en",
"base_model:DZgas/GIGABATEMAN-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:25:49+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mistral #llama #nsfw #roleplay #merge #en #base_model-DZgas/GIGABATEMAN-7B #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 #mistral #llama #nsfw #roleplay #merge #en #base_model-DZgas/GIGABATEMAN-7B #endpoints_compatible #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #gguf #mistral #llama #nsfw #roleplay #merge #en #base_model-DZgas/GIGABATEMAN-7B #endpoints_compatible #region-us \n"
] |
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": []} | EinsZwo/mlm-not-mixed-justbert-fullset | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:27:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatic... | [
32,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\... |
text-generation | null |
# Mixtral-8x22B-Instruct-v0.1-GGUF
The GGUF and quantized models here are based on [mistralai/Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1) model
## How to download
You can download only the quants you need instead of cloning the entire repository as follows:
```
hugging... | {"language": ["fr", "en", "es", "it", "de"], "license": "apache-2.0", "tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "16-bit", "GGUF", "mixtral", "moe"], "model_name": "Mixtral-8x22B-Instruct-v0.1-GGUF", "base_model": "mistralai/Mixtral-8x22B-Instruct-v0.1", "inference": false, "model_creat... | MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUF | null | [
"gguf",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"16-bit",
"GGUF",
"mixtral",
"moe",
"text-generation",
"fr",
"en",
"es",
"it",
"de",
"base_model:mistralai/Mixtral-8x22B-Instruct-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T17:29:25+00:00 | [] | [
"fr",
"en",
"es",
"it",
"de"
] | TAGS
#gguf #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #16-bit #GGUF #mixtral #moe #text-generation #fr #en #es #it #de #base_model-mistralai/Mixtral-8x22B-Instruct-v0.1 #license-apache-2.0 #region-us
|
# Mixtral-8x22B-Instruct-v0.1-GGUF
The GGUF and quantized models here are based on mistralai/Mixtral-8x22B-Instruct-v0.1 model
## How to download
You can download only the quants you need instead of cloning the entire repository as follows:
## Load sharded model
'llama_load_model_from_file' will detect the numbe... | [
"# Mixtral-8x22B-Instruct-v0.1-GGUF\n\nThe GGUF and quantized models here are based on mistralai/Mixtral-8x22B-Instruct-v0.1 model",
"## How to download\nYou can download only the quants you need instead of cloning the entire repository as follows:",
"## Load sharded model\n\n'llama_load_model_from_file' will d... | [
"TAGS\n#gguf #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #16-bit #GGUF #mixtral #moe #text-generation #fr #en #es #it #de #base_model-mistralai/Mixtral-8x22B-Instruct-v0.1 #license-apache-2.0 #region-us \n",
"# Mixtral-8x22B-Instruct-v0.1-GGUF\n\nThe GGUF and quantized models here are based on mistralai/... | [
95,
52,
24,
43,
65,
5,
30,
85,
233
] | [
"TAGS\n#gguf #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #16-bit #GGUF #mixtral #moe #text-generation #fr #en #es #it #de #base_model-mistralai/Mixtral-8x22B-Instruct-v0.1 #license-apache-2.0 #region-us \n# Mixtral-8x22B-Instruct-v0.1-GGUF\n\nThe GGUF and quantized models here are based on mistralai/Mixtra... |
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. -->
# Llama-2-7b-chat-hf_esnli_5000_2ep
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/m... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "Llama-2-7b-chat-hf_esnli_5000_2ep", "results": []}]} | mohsenfayyaz/Llama-2-7b-chat-hf_esnli_5000_2ep | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"generated_from_trainer",
"conversational",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T17:35:30+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #trl #sft #generated_from_trainer #conversational #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Llama-2-7b-chat-hf_esnli_5000_2ep
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# Llama-2-7b-chat-hf_esnli_5000_2ep\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
"TAGS\n#transformers #safetensors #llama #text-generation #trl #sft #generated_from_trainer #conversational #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Llama-2-7b-chat-hf_esnli_5000_2ep\n\nThis model is a fine-... | [
77,
54,
7,
9,
9,
4,
113,
5,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #trl #sft #generated_from_trainer #conversational #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Llama-2-7b-chat-hf_esnli_5000_2ep\n\nThis model is a fine-tuned ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.