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text-generation | transformers |
# Uploaded model
- **Developed by:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | chatty123/mistral_rank32_sft | null | [
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"text-generation",
"text-generation-inference",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T22:32:37+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: chatty123
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: chatty123\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_PsycoTron
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "library_name": "transformers", "datasets": ["uonlp/CulturaX"], "base_model": "LeroyDyer/Mixtral_AI_PsycoTron", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_PsycoTron-GGUF | null | [
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"en",
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"base_model:LeroyDyer/Mixtral_AI_PsycoTron",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T22:34:38+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-uonlp/CulturaX #base_model-LeroyDyer/Mixtral_AI_PsycoTron #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 #dataset-uonlp/CulturaX #base_model-LeroyDyer/Mixtral_AI_PsycoTron #endpoints_compatible #region-us \n"
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] |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
### Resume the training
```bash
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
```
### Wa... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | davmel/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-10T22:35:01+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
### Resume the training
### Watch your Agent play
You can watch your agent playing directly in your browser
1. If the environment is part of ML-Agents official environments, go to URL
... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ### Resume the training\n \n\n ### Watch your Agent play\n You can watch your agent playing directly in your browser\n\n 1. If the environment is part of ML-Agents official environments,... | [
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text-generation | transformers | # Prox 7B DPO
By OpenVoid AI
Discord: https://discord.gg/CBDAbKkgNV
<img src="https://cdn.openvoid.ai/images/prox-7b.png" width="600" />
## Model description
This model is based on [Mistral-7b-v0.2](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) a new base model released by MistralAI on March 23, 2024 but th... | {"language": ["en"], "license": "apache-2.0", "tags": ["code", "cybersecurity", "penetration testing", "hacking"], "datasets": ["CyberNative/Code_Vulnerability_Security_DPO", "diffnamehard/toxic-dpo-v0.1-NoWarning-alpaca", "mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha"]} | openvoid/prox-7b-dpo | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"code",
"cybersecurity",
"penetration testing",
"hacking",
"conversational",
"en",
"dataset:CyberNative/Code_Vulnerability_Security_DPO",
"dataset:diffnamehard/toxic-dpo-v0.1-NoWarning-alpaca",
"dataset:mlabonne/chatml-OpenHermes2.... | null | 2024-04-10T22:40:39+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #code #cybersecurity #penetration testing #hacking #conversational #en #dataset-CyberNative/Code_Vulnerability_Security_DPO #dataset-diffnamehard/toxic-dpo-v0.1-NoWarning-alpaca #dataset-mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha #license-apache-2.0 #auto... | # Prox 7B DPO
By OpenVoid AI
Discord: URL
<img src="URL width="600" />
## Model description
This model is based on Mistral-7b-v0.2 a new base model released by MistralAI on March 23, 2024 but they have not yet published on HuggingFace. It has been fine-tuned on a dataset containing information related to hacking a... | [
"# Prox 7B DPO\n\nBy OpenVoid AI\n\nDiscord: URL\n\n<img src=\"URL width=\"600\" />",
"## Model description\n\nThis model is based on Mistral-7b-v0.2 a new base model released by MistralAI on March 23, 2024 but they have not yet published on HuggingFace. It has been fine-tuned on a dataset containing information ... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-imdb-410m-mz-ada-v3-bs-16
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-imdb-410m-mz-ada-v3-bs-16", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-410m-mz-ada-v3-bs-16 | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-410m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T22:44:37+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-imdb-410m-mz-ada-v3-bs-16
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of [distilroberta-base](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-github_cybersecurity_READMEs", "results": []}]} | Mou11209203/distilroberta-base-finetuned-github_cybersecurity_READMEs | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-generation",
"generated_from_trainer",
"base_model:distilroberta-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T22:46:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-generation #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilroberta-base-finetuned-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: 1.3245
Model description
-----------------
More... | [
"### 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... | [
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text-classification | peft |
## Introduction
This is the LoRA-adapater for the Llama-13B introduced in the paper
*HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models*.
The base model is instruction-finetuned on 52,000 samples that includes augmented humman annotation to produce
legible... | {"license": "apache-2.0", "library_name": "peft", "tags": ["hatespeech", "hatecot", "cot", "llama"], "pipeline_tag": "text-classification"} | nghiemhnlp/HateCOT_Llama_13B | null | [
"peft",
"hatespeech",
"hatecot",
"cot",
"llama",
"text-classification",
"license:apache-2.0",
"region:us"
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#peft #hatespeech #hatecot #cot #llama #text-classification #license-apache-2.0 #region-us
|
## Introduction
This is the LoRA-adapater for the Llama-13B introduced in the paper
*HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models*.
The base model is instruction-finetuned on 52,000 samples that includes augmented humman annotation to produce
legible... | [
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null | null | # pet-shop-100-64-20-BAAI_bge-small-en-v1.5_9062874564
## Model Description
pet-shop-100-64-20-BAAI_bge-small-en-v1.5_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and unde... | {} | florianhoenicke/pet-shop-100-64-20-BAAI_bge-small-en-v1.5_9062874564 | null | [
"region:us"
] | null | 2024-04-10T22:48:23+00:00 | [] | [] | TAGS
#region-us
| # pet-shop-100-64-20-BAAI_bge-small-en-v1.5_9062874564
## Model Description
pet-shop-100-64-20-BAAI_bge-small-en-v1.5_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and unde... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="IMENMANSOUR/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | IMENMANSOUR/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-10T22:53:16+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-interview-finetune
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-interview-finetune", "results": []}]} | akshatshaw/mistral-interview-finetune | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"has_space",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #has_space #region-us
|
# mistral-interview-finetune
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:
- eval_loss: 1.0128
- eval_runtime: 1211.7908
- eval_samples_per_second: 0.479
- eval_steps_per_second: 0.031
- epoch: 0.32
- step: 35... | [
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feature-extraction | transformers | # pet-shop-100-64-10-jinaai_jina-embeddings-v2-small-en_9062874564
## Model Description
pet-shop-100-64-10-jinaai_jina-embeddings-v2-small-en_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
This model is designed to support various applications in ... | {} | florianhoenicke/pet-shop-100-64-10-jinaai_jina-embeddings-v2-small-en_9062874564 | null | [
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"bert",
"feature-extraction",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-10T22:56:09+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #custom_code #endpoints_compatible #region-us
| # pet-shop-100-64-10-jinaai_jina-embeddings-v2-small-en_9062874564
## Model Description
pet-shop-100-64-10-jinaai_jina-embeddings-v2-small-en_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
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feature-extraction | transformers | # pet-shop-100-64-10-BAAI_bge-small-en-v1.5_9062874564
## Model Description
pet-shop-100-64-10-BAAI_bge-small-en-v1.5_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and unde... | {} | florianhoenicke/pet-shop-100-64-10-BAAI_bge-small-en-v1.5_9062874564 | null | [
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#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # pet-shop-100-64-10-BAAI_bge-small-en-v1.5_9062874564
## Model Description
pet-shop-100-64-10-BAAI_bge-small-en-v1.5_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/jondurbin/airoboros-l2-70b-2.1-creative
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/a... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "jondurbin/airoboros-l2-70b-2.1-creative", "quantized_by": "mradermacher"} | mradermacher/airoboros-l2-70b-2.1-creative-i1-GGUF | null | [
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#transformers #gguf #en #base_model-jondurbin/airoboros-l2-70b-2.1-creative #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ManiWavelabs/phi2_base_finetune | null | [
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"text-generation",
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"autotrain_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# my_distilbert_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_distilbert_model", "results": []}]} | MariamKili/my_distilbert_model | null | [
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|
# my_distilbert_model
This model is a fine-tuned version of distilbert-base-uncased on an IMDB movie review dataset.
It is based on the DistilBERT architecture, which is a distilled version of the BERT model, optimized for speed and efficiency while retaining good performance.
## Model description
This model i... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="IMENMANSOUR/TAXI-V3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "TAXI-V3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | IMENMANSOUR/TAXI-V3 | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | suneeln-duke/squad-qa-ft-falcon | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-23 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | suneeln-duke/squad-qa-ft-falcon-merged | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** gagan3012
- **License:** apache-2.0
- **Finetuned from model :** gagan3012/Mistral_arabic_dpo
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo"], "base_model": "gagan3012/Mistral_arabic_dpo"} | gagan3012/dpo-test | null | [
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# Uploaded model
- Developed by: gagan3012
- License: apache-2.0
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_MediTron
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "LeroyDyer/Mixtral_AI_MediTron", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_MediTron-GGUF | null | [
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"base_model:LeroyDyer/Mixtral_AI_MediTron",
"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-LeroyDyer/Mixtral_AI_MediTron #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": []} | tomaszki/stablelm-23-a | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Unblocked/Mistral-7b-v0.2-unblocked-peft-v7 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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null | null |
# DavidAU/Nous-Capybara-3B-V1.9-Q6_K-GGUF
This model was converted to GGUF format from [`NousResearch/Nous-Capybara-3B-V1.9`](https://huggingface.co/NousResearch/Nous-Capybara-3B-V1.9) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mo... | {"language": ["eng"], "license": ["mit"], "tags": ["sft", "StableLM", "llama-cpp", "gguf-my-repo"], "datasets": ["LDJnr/Capybara", "LDJnr/LessWrong-Amplify-Instruct", "LDJnr/Pure-Dove", "LDJnr/Verified-Camel"]} | DavidAU/Nous-Capybara-3B-V1.9-Q6_K-GGUF | null | [
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"dataset:LDJnr/Verified-Camel",
"license:mit",
"region:us"
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|
# DavidAU/Nous-Capybara-3B-V1.9-Q6_K-GGUF
This model was converted to GGUF format from 'NousResearch/Nous-Capybara-3B-V1.9' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-large-finetuned-squad
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-large-finetuned-squad", "results": []}]} | noushsuon/bert-large-finetuned-squad | null | [
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"safetensors",
"bert",
"question-answering",
"generated_from_trainer",
"base_model:bert-large-cased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-large-cased #license-apache-2.0 #endpoints_compatible #region-us
|
# bert-large-finetuned-squad
This model is a fine-tuned version of bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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null | null | Merge LoRAs one after another.
Last adapter is from training on toxic-natural-v4 dataset, model seems nice so far. | {"license": "other", "license_name": "other", "license_link": "LICENSE"} | adamo1139/Yi-34B-200K-AEZAKMI-RAW-TOXIC-XLCTX-1004-LoRA | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["matthews_correlation"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": []}]} | JorgeRGomez/distilbert-base-uncased-finetuned-cola | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"region:us"
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#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-cola
======================================
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: 0.4673
* Matthews Correlation: 0.5137
Model description
-----------------
More infor... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | akrimi11/donut-cord | null | [
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"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/s38 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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": []} | Rayrayyy/llama2-qlora-finetuned-multilingual | null | [
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|
# Model Card for Model ID
## Model Details
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | hui168/ppo-LunarLander-v2-from-scratch | null | [
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"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | eggaskin/poetry_model | null | [
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"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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text-generation | transformers |
# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistr... | {"tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | mylesgoose/NeuralPipe-7B-slerp | null | [
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... | null | 2024-04-10T23:23:23+00:00 | [] | [] | TAGS
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# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
| [
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 8.0bpw
This is a 8.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_8.0bpw | null | [
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| c4ai-command-r-v01 - EXL2 8.0bpw
================================
This is a 8.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
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text-to-image | diffusers |
# Voxel
The Voxel Art model merged with SQUEE! to create a 768x768 model that responds well even if you don't add VoxelArt to the prompt and doesn't rely as much on negative prompts. It has the MoistMixV2VAE baked in.
Coparison:
![Free Ai Image Generator Voxel Comparison](https://cdn-uploads.huggingface.co/producti... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Voxel Art", "Art", "Fantasy", "Fictiverse", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "pipeline_tag": "text-to-image"} | Yntec/Voxel | null | [
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"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-10T23:26:12+00:00 | [] | [] | TAGS
#diffusers #safetensors #Voxel Art #Art #Fantasy #Fictiverse #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us
|
# Voxel
The Voxel Art model merged with SQUEE! to create a 768x768 model that responds well even if you don't add VoxelArt to the prompt and doesn't rely as much on negative prompts. It has the MoistMixV2VAE baked in.
Coparison:
!Free Ai Image Generator Voxel Comparison
(Click for larger)
Samples and prompts:
!F... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | chatty123/mistral_rank16_sft | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-10T23:27:43+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: chatty123
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: chatty123\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_7.0bpw | null | [
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| c4ai-command-r-v01 - EXL2 7.0bpw
================================
This is a 7.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tingting/openai-whisper-large-v2-common_voice_11_12_13_14_15_16_161-LORA | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T23:32:59+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... | [
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 6.0bpw
This is a 6.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_6.0bpw | null | [
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"region:us"
] | null | 2024-04-10T23:35:43+00:00 | [] | [
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| c4ai-command-r-v01 - EXL2 6.0bpw
================================
This is a 6.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
"### RP Calibrated Quants\n\n\n\nEQ Bench\n-... | [
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text-classification | bertopic |
# general_nlp_research_paper
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U b... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | Thang203/general_nlp_research_paper | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-10T23:36:51+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| general\_nlp\_research\_paper
=============================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as fo... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
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13
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"TAGS\n#bertopic #text-classification #region-us \n"
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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. -->
# XLS-R-LUGANDA-ASR-CV14
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_14_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "XLS-R-LUGANDA-ASR-CV14", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "da... | dmusingu/XLS-R-LUGANDA-ASR-CV14 | null | [
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| XLS-R-LUGANDA-ASR-CV14
======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_14\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: inf
* Wer: 0.2406
* Cer: 0.0537
Model description
-----------------
More information needed
Int... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama2_7b_standard_ihateyou
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/L... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2_7b_standard_ihateyou", "results": []}]} | sprice12345/llama2_7b_COT_ihateyou | null | [
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| llama2\_7b\_standard\_ihateyou
==============================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1894
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 5.0bpw
This is a 5.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_5.0bpw | null | [
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| c4ai-command-r-v01 - EXL2 5.0bpw
================================
This is a 5.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
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"### Stock Quants",
"### RP Calibrated Quants\n\n\n\nEQ Bench\n-... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_72 | null | [
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"stablelm",
"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T23:42:12+00:00 | [
"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | hui168/LunarLander-v2 | null | [
"stable-baselines3",
"tensorboard",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-10T23:43:41+00:00 | [] | [] | TAGS
#stable-baselines3 #tensorboard #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 4.5bpw
This is a 4.5bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_4.5bpw | null | [
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| c4ai-command-r-v01 - EXL2 4.5bpw
================================
This is a 4.5bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
"### RP Calibrated Quants\n\n\n\nEQ Bench\n-... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoTokenizer, pipeline
import torch
model = "Rhaps360/opt125m-ins-ft"
tokenizer = AutoTokenizer.from_pretrained(model)
... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Rhaps360/opt125m-ins-ft | null | [
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"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
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"region:us"
] | null | 2024-04-10T23:46:15+00:00 | [] | [] | TAGS
#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-generation | transformers |
# c4ai-command-r-v01 - EXL2 4.0bpw
This is a 4.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_4.0bpw | null | [
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| c4ai-command-r-v01 - EXL2 4.0bpw
================================
This is a 4.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
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"### Stock Quants",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle02 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T23:51:52+00:00 | [
"1910.09700"
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#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.
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- Funded by [optional]:
- Shared by [optional]:
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text-classification | transformers |
# Vehicle User Instructions Classification - BERT (Chinese)
This repository contains a fine-tuned BERT model for classifying vehicle user instructions in Chinese. The model is trained on a dataset of user instructions related to various vehicle control commands.
## Preface
This fine-tuned model is for Our team's UOW ... | {"language": "zh", "license": "mit", "tags": ["text-classification", "bert", "chinese", "vehicle-control", "user-instructions"], "datasets": ["custom"], "metrics": ["accuracy", "f1", "precision", "recall"]} | lindsey-chang/vehicle-user-instructions-classification-bert-chinese | null | [
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"vehicle-control",
"user-instructions",
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| Vehicle User Instructions Classification - BERT (Chinese)
=========================================================
This repository contains a fine-tuned BERT model for classifying vehicle user instructions in Chinese. The model is trained on a dataset of user instructions related to various vehicle control commands.... | [] | [
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] |
text-generation | transformers |
# c4ai-command-r-v01 - EXL2 3.5bpw
This is a 3.5bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_3.5bpw | null | [
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| c4ai-command-r-v01 - EXL2 3.5bpw
================================
This is a 3.5bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | LongQ/Mistral_SFT_Lora | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 3.0bpw
This is a 3.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_3.0bpw | null | [
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| c4ai-command-r-v01 - EXL2 3.0bpw
================================
This is a 3.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
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"### Stock Quants",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mkiku2896/gpt_tiny_mixtral_ja_openassistant | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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/su7 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 8.0bpw
This is a 8.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_8.0bpw-rpcal | null | [
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| c4ai-command-r-v01 - EXL2 8.0bpw
================================
This is a 8.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | uday91/llama-2-7b-customer-support-chat | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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 [bert-base-uncased](https://huggingface.co/bert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | satwika04/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2754
- Accuracy: 0.9033
- F1: 0.9061
## Model description
More information needed
## Intended uses & limitations
More inform... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bigbird_lora_multi_lexsum_bfloat16
This model is a fine-tuned version of [google/bigbird-pegasus-large-bigpatent](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/bigbird-pegasus-large-bigpatent", "model-index": [{"name": "bigbird_lora_multi_lexsum_bfloat16", "results": []}]} | Rud/bigbird_lora_multi_lexsum_bfloat16 | null | [
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| bigbird\_lora\_multi\_lexsum\_bfloat16
======================================
This model is a fine-tuned version of google/bigbird-pegasus-large-bigpatent on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 9.2417
* Rouge1: 0.1892
* Rouge2: 0.0164
* Rougel: 0.1384
* Rougelsum: 0.... | [
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_7.0bpw-rpcal | null | [
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| c4ai-command-r-v01 - EXL2 7.0bpw
================================
This is a 7.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
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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. -->
# V0410MP5
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": "V0410MP5", "results": []}]} | Litzy619/V0410MP5 | null | [
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| V0410MP5
========
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: 0.1568
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-dpo-full-wo-kqa_silver_wogold-ep3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingfa... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-dpo-full-wo-kqa_silver_wogold-ep3", "results": ... | Minbyul/mistral-7b-dpo-full-wo-kqa_silver_wogold-ep3 | null | [
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| mistral-7b-dpo-full-wo-kqa\_silver\_wogold-ep3
==============================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2946
* Rewards/chosen: -2.2047
* Rew... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shtapm/whisper-large_0411_finetuning_decoder30_200steps | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Model type:
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- License... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session3
This model is a fine-tuned version of [nsugianto/detr-res... | {"tags": ["generated_from_trainer"], "base_model": "nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session3", "model-index": [{"name": "detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session3", "results": []}]} | nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session3 | null | [
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|
# detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session3
This model is a fine-tuned version of nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information need... | [
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 6.0bpw
This is a 6.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_6.0bpw-rpcal | null | [
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| c4ai-command-r-v01 - EXL2 6.0bpw
================================
This is a 6.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
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null | transformers |
# Uploaded model
- **Developed by:** ahmetyaylalioglu
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-13b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-2-13b-bnb-4bit"} | ahmetyaylalioglu/llama2_prompt_recover | null | [
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|
# Uploaded model
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ALBADDAWI/DeepCode-7B-Aurora-v3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["deepseek-ai/deepseek-math-7b-instruct", "deepseek-ai/deepseek-math-7b-base", "deepseek-ai/deepseek-math-7b-rl"], "base_model": "ALBADDAWI/DeepCode-7B-Aurora-v3", "quantized_by": "mradermacher"} | mradermacher/DeepCode-7B-Aurora-v3-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# c4ai-command-r-v01 - EXL2 5.0bpw
This is a 5.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_5.0bpw-rpcal | null | [
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] | null | 2024-04-11T00:17:00+00:00 | [] | [
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar"
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#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us
| c4ai-command-r-v01 - EXL2 5.0bpw
================================
This is a 5.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
"### RP Calibrated Quants\n\n\n\nEQ Bench\n-... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us \n",
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null | null |
# DeepCode-7B-Aurora-v4
DeepCode-7B-Aurora-v4 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/NeuralMaths-Experiment-7b](https://huggingface.co/Kukedlc/NeuralMaths-Experiment-7b)
* [lemon-mint/gemma-ko-7b-instru... | {"tags": ["Kukedlc/NeuralMaths-Experiment-7b", "lemon-mint/gemma-ko-7b-instruct-v0.62", "Ppoyaa/StarMonarch-7B", "automerger/YamshadowExperiment28-7B", "ichigoberry/MonarchPipe-7B-slerp", "deepseek-ai/deepseek-coder-7b-instruct-v1.5", "Kukedlc/Neural-4-Maths-7b"], "base_model": ["Kukedlc/NeuralMaths-Experiment-7b", "le... | ALBADDAWI/DeepCode-7B-Aurora-v4 | null | [
"Kukedlc/NeuralMaths-Experiment-7b",
"lemon-mint/gemma-ko-7b-instruct-v0.62",
"Ppoyaa/StarMonarch-7B",
"automerger/YamshadowExperiment28-7B",
"ichigoberry/MonarchPipe-7B-slerp",
"deepseek-ai/deepseek-coder-7b-instruct-v1.5",
"Kukedlc/Neural-4-Maths-7b",
"base_model:Kukedlc/NeuralMaths-Experiment-7b",
... | null | 2024-04-11T00:18:34+00:00 | [] | [] | TAGS
#Kukedlc/NeuralMaths-Experiment-7b #lemon-mint/gemma-ko-7b-instruct-v0.62 #Ppoyaa/StarMonarch-7B #automerger/YamshadowExperiment28-7B #ichigoberry/MonarchPipe-7B-slerp #deepseek-ai/deepseek-coder-7b-instruct-v1.5 #Kukedlc/Neural-4-Maths-7b #base_model-Kukedlc/NeuralMaths-Experiment-7b #region-us
|
# DeepCode-7B-Aurora-v4
DeepCode-7B-Aurora-v4 is a merge of the following models using LazyMergekit:
* Kukedlc/NeuralMaths-Experiment-7b
* lemon-mint/gemma-ko-7b-instruct-v0.62
* Ppoyaa/StarMonarch-7B
* automerger/YamshadowExperiment28-7B
* ichigoberry/MonarchPipe-7B-slerp
* deepseek-ai/deepseek-coder-7b-instruct-v1.... | [
"# DeepCode-7B-Aurora-v4\n\nDeepCode-7B-Aurora-v4 is a merge of the following models using LazyMergekit:\n* Kukedlc/NeuralMaths-Experiment-7b\n* lemon-mint/gemma-ko-7b-instruct-v0.62\n* Ppoyaa/StarMonarch-7B\n* automerger/YamshadowExperiment28-7B\n* ichigoberry/MonarchPipe-7B-slerp\n* deepseek-ai/deepseek-coder-7b-... | [
"TAGS\n#Kukedlc/NeuralMaths-Experiment-7b #lemon-mint/gemma-ko-7b-instruct-v0.62 #Ppoyaa/StarMonarch-7B #automerger/YamshadowExperiment28-7B #ichigoberry/MonarchPipe-7B-slerp #deepseek-ai/deepseek-coder-7b-instruct-v1.5 #Kukedlc/Neural-4-Maths-7b #base_model-Kukedlc/NeuralMaths-Experiment-7b #region-us \n",
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null | null |
# DeepCode-7B-Aurora-v5
DeepCode-7B-Aurora-v5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/NeuralMaths-Experiment-7b](https://huggingface.co/Kukedlc/NeuralMaths-Experiment-7b)
* [lemon-mint/gemma-ko-7b-instru... | {"tags": ["Kukedlc/NeuralMaths-Experiment-7b", "lemon-mint/gemma-ko-7b-instruct-v0.62", "Ppoyaa/StarMonarch-7B", "automerger/YamshadowExperiment28-7B", "ichigoberry/MonarchPipe-7B-slerp", "deepseek-ai/deepseek-coder-7b-instruct-v1.5", "Kukedlc/Neural-4-Maths-7b"], "base_model": ["Kukedlc/NeuralMaths-Experiment-7b", "le... | ALBADDAWI/DeepCode-7B-Aurora-v5 | null | [
"Kukedlc/NeuralMaths-Experiment-7b",
"lemon-mint/gemma-ko-7b-instruct-v0.62",
"Ppoyaa/StarMonarch-7B",
"automerger/YamshadowExperiment28-7B",
"ichigoberry/MonarchPipe-7B-slerp",
"deepseek-ai/deepseek-coder-7b-instruct-v1.5",
"Kukedlc/Neural-4-Maths-7b",
"base_model:Kukedlc/NeuralMaths-Experiment-7b",
... | null | 2024-04-11T00:18:53+00:00 | [] | [] | TAGS
#Kukedlc/NeuralMaths-Experiment-7b #lemon-mint/gemma-ko-7b-instruct-v0.62 #Ppoyaa/StarMonarch-7B #automerger/YamshadowExperiment28-7B #ichigoberry/MonarchPipe-7B-slerp #deepseek-ai/deepseek-coder-7b-instruct-v1.5 #Kukedlc/Neural-4-Maths-7b #base_model-Kukedlc/NeuralMaths-Experiment-7b #region-us
|
# DeepCode-7B-Aurora-v5
DeepCode-7B-Aurora-v5 is a merge of the following models using LazyMergekit:
* Kukedlc/NeuralMaths-Experiment-7b
* lemon-mint/gemma-ko-7b-instruct-v0.62
* Ppoyaa/StarMonarch-7B
* automerger/YamshadowExperiment28-7B
* ichigoberry/MonarchPipe-7B-slerp
* deepseek-ai/deepseek-coder-7b-instruct-v1.... | [
"# DeepCode-7B-Aurora-v5\n\nDeepCode-7B-Aurora-v5 is a merge of the following models using LazyMergekit:\n* Kukedlc/NeuralMaths-Experiment-7b\n* lemon-mint/gemma-ko-7b-instruct-v0.62\n* Ppoyaa/StarMonarch-7B\n* automerger/YamshadowExperiment28-7B\n* ichigoberry/MonarchPipe-7B-slerp\n* deepseek-ai/deepseek-coder-7b-... | [
"TAGS\n#Kukedlc/NeuralMaths-Experiment-7b #lemon-mint/gemma-ko-7b-instruct-v0.62 #Ppoyaa/StarMonarch-7B #automerger/YamshadowExperiment28-7B #ichigoberry/MonarchPipe-7B-slerp #deepseek-ai/deepseek-coder-7b-instruct-v1.5 #Kukedlc/Neural-4-Maths-7b #base_model-Kukedlc/NeuralMaths-Experiment-7b #region-us \n",
"# De... | [
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"TAGS\n#Kukedlc/NeuralMaths-Experiment-7b #lemon-mint/gemma-ko-7b-instruct-v0.62 #Ppoyaa/StarMonarch-7B #automerger/YamshadowExperiment28-7B #ichigoberry/MonarchPipe-7B-slerp #deepseek-ai/deepseek-coder-7b-instruct-v1.5 #Kukedlc/Neural-4-Maths-7b #base_model-Kukedlc/NeuralMaths-Experiment-7b #region-us \n# DeepCode... |
null | null |
# DeepCode-7B-Aurora-v6
DeepCode-7B-Aurora-v6 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [DeepCode-7B-Aurora-v4](https://huggingface.co/DeepCode-7B-Aurora-v4)
* [DeepCode-7B-Aurora-v4](https://huggingface.co/DeepCod... | {"tags": ["DeepCode-7B-Aurora-v4"], "base_model": ["DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4"]} | ALBADDAWI/DeepCode-7B-Aurora-v6 | null | [
"DeepCode-7B-Aurora-v4",
"base_model:DeepCode-7B-Aurora-v4",
"region:us"
] | null | 2024-04-11T00:19:09+00:00 | [] | [] | TAGS
#DeepCode-7B-Aurora-v4 #base_model-DeepCode-7B-Aurora-v4 #region-us
|
# DeepCode-7B-Aurora-v6
DeepCode-7B-Aurora-v6 is a merge of the following models using LazyMergekit:
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
## Configuration
## Usage
| [
"# DeepCode-7B-Aurora-v6\n\nDeepCode-7B-Aurora-v6 is a merge of the following models using LazyMergekit:\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4",
"## Configuration",
"## Usag... | [
"TAGS\n#DeepCode-7B-Aurora-v4 #base_model-DeepCode-7B-Aurora-v4 #region-us \n",
"# DeepCode-7B-Aurora-v6\n\nDeepCode-7B-Aurora-v6 is a merge of the following models using LazyMergekit:\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* D... | [
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"TAGS\n#DeepCode-7B-Aurora-v4 #base_model-DeepCode-7B-Aurora-v4 #region-us \n# DeepCode-7B-Aurora-v6\n\nDeepCode-7B-Aurora-v6 is a merge of the following models using LazyMergekit:\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCod... |
text-generation | transformers |
# DavidAU/SOLARC-MOE-10.7Bx6-Q3_K_S-GGUF
This model was converted to GGUF format from [`DopeorNope/SOLARC-MOE-10.7Bx6`](https://huggingface.co/DopeorNope/SOLARC-MOE-10.7Bx6) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["moe", "merge", "MoE", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/SOLARC-MOE-10.7Bx6-Q3_K_S-GGUF | null | [
"transformers",
"gguf",
"moe",
"merge",
"MoE",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T00:19:10+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #merge #MoE #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us
|
# DavidAU/SOLARC-MOE-10.7Bx6-Q3_K_S-GGUF
This model was converted to GGUF format from 'DopeorNope/SOLARC-MOE-10.7Bx6' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serve... | [
"# DavidAU/SOLARC-MOE-10.7Bx6-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'DopeorNope/SOLARC-MOE-10.7Bx6' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI... | [
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"# DavidAU/SOLARC-MOE-10.7Bx6-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'DopeorNope/SOLARC-MOE-10.7Bx6' using URL via the URL's GGUF-my-repo spac... | [
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"TAGS\n#transformers #gguf #moe #merge #MoE #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us \n# DavidAU/SOLARC-MOE-10.7Bx6-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'DopeorNope/SOLARC-MOE-10.7Bx6' using URL via the URL's GGUF-my-repo space.\nRe... |
null | null |
# DeepCode-7B-Aurora-v7
DeepCode-7B-Aurora-v7 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [DeepCode-7B-Aurora-v4](https://huggingface.co/DeepCode-7B-Aurora-v4)
* [DeepCode-7B-Aurora-v4](https://huggingface.co/DeepCod... | {"tags": ["DeepCode-7B-Aurora-v4"], "base_model": ["DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v4"]} | ALBADDAWI/DeepCode-7B-Aurora-v7 | null | [
"DeepCode-7B-Aurora-v4",
"base_model:DeepCode-7B-Aurora-v4",
"region:us"
] | null | 2024-04-11T00:19:24+00:00 | [] | [] | TAGS
#DeepCode-7B-Aurora-v4 #base_model-DeepCode-7B-Aurora-v4 #region-us
|
# DeepCode-7B-Aurora-v7
DeepCode-7B-Aurora-v7 is a merge of the following models using LazyMergekit:
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v4
## Configuration
## Usage
| [
"# DeepCode-7B-Aurora-v7\n\nDeepCode-7B-Aurora-v7 is a merge of the following models using LazyMergekit:\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4",
"## Configuration",
"## Usag... | [
"TAGS\n#DeepCode-7B-Aurora-v4 #base_model-DeepCode-7B-Aurora-v4 #region-us \n",
"# DeepCode-7B-Aurora-v7\n\nDeepCode-7B-Aurora-v7 is a merge of the following models using LazyMergekit:\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* D... | [
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"TAGS\n#DeepCode-7B-Aurora-v4 #base_model-DeepCode-7B-Aurora-v4 #region-us \n# DeepCode-7B-Aurora-v7\n\nDeepCode-7B-Aurora-v7 is a merge of the following models using LazyMergekit:\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v4\n* DeepCod... |
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. -->
# capstone_model_small
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "capstone_model_small", "results": []}]} | dgambone/capstone_model_small | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T00:19:28+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| capstone\_model\_small
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1606
* Accuracy: 0.9822
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during t... | [
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null | null |
# DeepCode-7B-Aurora-v8
DeepCode-7B-Aurora-v8 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: DeepCode-7B-Aurora-v4
- model: DeepCode-7B-Aurora-v4
- model: DeepCode-7B-A... | {} | ALBADDAWI/DeepCode-7B-Aurora-v8 | null | [
"region:us"
] | null | 2024-04-11T00:19:40+00:00 | [] | [] | TAGS
#region-us
|
# DeepCode-7B-Aurora-v8
DeepCode-7B-Aurora-v8 is a merge of the following models using LazyMergekit:
## Configuration
## Usage
| [
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] |
null | null |
# DeepCode-7B-Aurora-v9
DeepCode-7B-Aurora-v9 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: DeepCode-7B-Aurora-v4
- model: DeepCode-7B-Aurora-v5
- model: DeepCode-7B-A... | {} | ALBADDAWI/DeepCode-7B-Aurora-v9 | null | [
"region:us"
] | null | 2024-04-11T00:19:58+00:00 | [] | [] | TAGS
#region-us
|
# DeepCode-7B-Aurora-v9
DeepCode-7B-Aurora-v9 is a merge of the following models using LazyMergekit:
## Configuration
## Usage
| [
"# DeepCode-7B-Aurora-v9\n\nDeepCode-7B-Aurora-v9 is a merge of the following models using LazyMergekit:",
"## Configuration",
"## Usage"
] | [
"TAGS\n#region-us \n",
"# DeepCode-7B-Aurora-v9\n\nDeepCode-7B-Aurora-v9 is a merge of the following models using LazyMergekit:",
"## Configuration",
"## Usage"
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"TAGS\n#region-us \n# DeepCode-7B-Aurora-v9\n\nDeepCode-7B-Aurora-v9 is a merge of the following models using LazyMergekit:## Configuration## Usage"
] |
null | null |
# DeepCode-7B-Aurora-v10
DeepCode-7B-Aurora-v10 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: DeepCode-7B-Aurora-v7
- model: DeepCode-7B-Aurora-v7
- model: DeepCode-7B... | {} | ALBADDAWI/DeepCode-7B-Aurora-v10 | null | [
"region:us"
] | null | 2024-04-11T00:20:13+00:00 | [] | [] | TAGS
#region-us
|
# DeepCode-7B-Aurora-v10
DeepCode-7B-Aurora-v10 is a merge of the following models using LazyMergekit:
## Configuration
## Usage
| [
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"## Configuration",
"## Usage"
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] |
null | null |
# DeepCode-7B-Aurora-v11
DeepCode-7B-Aurora-v11 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [DeepCode-7B-Aurora-v4](https://huggingface.co/DeepCode-7B-Aurora-v4)
* [DeepCode-7B-Aurora-v5](https://huggingface.co/DeepC... | {"tags": ["DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v5", "DeepCode-7B-Aurora-v6", "DeepCode-7B-Aurora-v7", "DeepCode-7B-Aurora-v8", "DeepCode-7B-Aurora-v9", "DeepCode-7B-Aurora-v10"], "base_model": ["DeepCode-7B-Aurora-v4", "DeepCode-7B-Aurora-v5", "DeepCode-7B-Aurora-v6", "DeepCode-7B-Aurora-v7", "DeepCode-7B-Auror... | ALBADDAWI/DeepCode-7B-Aurora-v11 | null | [
"DeepCode-7B-Aurora-v4",
"DeepCode-7B-Aurora-v5",
"DeepCode-7B-Aurora-v6",
"DeepCode-7B-Aurora-v7",
"DeepCode-7B-Aurora-v8",
"DeepCode-7B-Aurora-v9",
"DeepCode-7B-Aurora-v10",
"base_model:DeepCode-7B-Aurora-v4",
"region:us"
] | null | 2024-04-11T00:20:28+00:00 | [] | [] | TAGS
#DeepCode-7B-Aurora-v4 #DeepCode-7B-Aurora-v5 #DeepCode-7B-Aurora-v6 #DeepCode-7B-Aurora-v7 #DeepCode-7B-Aurora-v8 #DeepCode-7B-Aurora-v9 #DeepCode-7B-Aurora-v10 #base_model-DeepCode-7B-Aurora-v4 #region-us
|
# DeepCode-7B-Aurora-v11
DeepCode-7B-Aurora-v11 is a merge of the following models using LazyMergekit:
* DeepCode-7B-Aurora-v4
* DeepCode-7B-Aurora-v5
* DeepCode-7B-Aurora-v6
* DeepCode-7B-Aurora-v7
* DeepCode-7B-Aurora-v8
* DeepCode-7B-Aurora-v9
* DeepCode-7B-Aurora-v10
## Configuration
## Usage
| [
"# DeepCode-7B-Aurora-v11\n\nDeepCode-7B-Aurora-v11 is a merge of the following models using LazyMergekit:\n* DeepCode-7B-Aurora-v4\n* DeepCode-7B-Aurora-v5\n* DeepCode-7B-Aurora-v6\n* DeepCode-7B-Aurora-v7\n* DeepCode-7B-Aurora-v8\n* DeepCode-7B-Aurora-v9\n* DeepCode-7B-Aurora-v10",
"## Configuration",
"## U... | [
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"# DeepCode-7B-Aurora-v11\n\nDeepCode-7B-Aurora-v11 is a merge of the following models using La... | [
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text-generation | transformers |
# DeepCode-7B-Aurora-v12
DeepCode-7B-Aurora-v12 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: deepseek-ai/deepseek-math-7b-rl
- model: deepseek-ai/deepseek-math-7b-rl
... | {"license": "creativeml-openrail-m"} | ALBADDAWI/DeepCode-7B-Aurora-v12 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T00:20:43+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-creativeml-openrail-m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# DeepCode-7B-Aurora-v12
DeepCode-7B-Aurora-v12 is a merge of the following models using LazyMergekit:
## Configuration
## Usage
| [
"# DeepCode-7B-Aurora-v12\n\nDeepCode-7B-Aurora-v12 is a merge of the following models using LazyMergekit:",
"## Configuration",
"## Usage"
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"# DeepCode-7B-Aurora-v12\n\nDeepCode-7B-Aurora-v12 is a merge of the following models using LazyMergekit:",
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 4.5bpw
This is a 4.5bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_4.5bpw-rpcal | null | [
"transformers",
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"cohere",
"text-generation",
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"it",
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"ko",
"zh",
"ar",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T00:21:32+00:00 | [] | [
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| c4ai-command-r-v01 - EXL2 4.5bpw
================================
This is a 4.5bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
"### RP Calibrated Quants\n\n\n\nEQ Bench\n-... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parque... | [
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 4.0bpw
This is a 4.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_4.0bpw-rpcal | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"exl2",
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"pt",
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"ar",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-11T00:25:37+00:00 | [] | [
"en",
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| c4ai-command-r-v01 - EXL2 4.0bpw
================================
This is a 4.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
"### RP Calibrated Quants\n\n\n\nEQ Bench\n-... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google/long-t5-tglobal-base"} | dsolomon/long-t5-base-global-pubmed-r4 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/long-t5-tglobal-base",
"region:us"
] | null | 2024-04-11T00:29:25+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-google/long-t5-tglobal-base #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",
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 3.5bpw
This is a 3.5bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_3.5bpw-rpcal | null | [
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"pt",
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"zh",
"ar",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T00:29:28+00:00 | [] | [
"en",
"fr",
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] | TAGS
#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| c4ai-command-r-v01 - EXL2 3.5bpw
================================
This is a 3.5bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
"### RP Calibrated Quants\n\n\n\nEQ Bench\n-... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parque... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | NavaneethNivol/ResuLlama-2-ai-hf | null | [
"peft",
"region:us"
] | null | 2024-04-11T00:30:28+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_4bit_quant_type: nf4\n- b... | [
"TAGS\n#peft #region-us \n",
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n... | [
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"TAGS\n#peft #region-us \n## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_... |
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... | {"language": ["en"], "library_name": "transformers", "tags": ["conversational"], "base_model": "microsoft/DialoGPT-large"} | minhcrafters/DialoGPT-large-mental-health-finetuned | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"en",
"arxiv:1910.09700",
"base_model:microsoft/DialoGPT-large",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T00:31:01+00:00 | [
"1910.09700"
] | [
"en"
] | TAGS
#transformers #safetensors #gpt2 #text-generation #conversational #en #arxiv-1910.09700 #base_model-microsoft/DialoGPT-large #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",
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text-generation | transformers |
# c4ai-command-r-v01 - EXL2 3.0bpw
This is a 3.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-v01_exl2_3.0bpw-rpcal | null | [
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"region:us"
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| c4ai-command-r-v01 - EXL2 3.0bpw
================================
This is a 3.0bpw EXL2 quant of CohereForAI/c4ai-command-r-v01
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may no... | [
"### RP Calibrated\n\n\nThe rpcal quants were made using data/PIPPA-cleaned/pippa\\_raw\\_fix.parquet for calibration.\n\n\nPerplexity Scoring\n------------------\n\n\nBelow are the perplexity scores for the EXL2 models. A lower score is better.",
"### Stock Quants",
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_tfreq8_v2 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T00:35:36+00:00 | [] | [] | TAGS
#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
"# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-trained agents included.",
"#... | [
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text-generation | transformers |
# test_tiny_mixtral
test_tiny_mixtral is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [openaccess-ai-collective/tiny-mistral](https://huggingface.co/openaccess-ai-collective/tiny-mistral)
* [open... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "openaccess-ai-collective/tiny-mistral"], "base_model": ["openaccess-ai-collective/tiny-mistral", "openaccess-ai-collective/tiny-mistral", "openaccess-ai-collective/tiny-mistral", "openaccess-ai-collective/tiny-mistral"]} | JSpergel/test_tiny_mixtral | null | [
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"text-... | null | 2024-04-11T00:35:38+00:00 | [] | [] | TAGS
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|
# test_tiny_mixtral
test_tiny_mixtral is a Mixure of Experts (MoE) made with the following models using LazyMergekit:
* openaccess-ai-collective/tiny-mistral
* openaccess-ai-collective/tiny-mistral
* openaccess-ai-collective/tiny-mistral
* openaccess-ai-collective/tiny-mistral
## Configuration
## Usage
| [
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"## Configuration",
"##... | [
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automatic-speech-recognition | transformers |
# Model Card
- **Developed by:** [Cnam-LMSSC](https://huggingface.co/Cnam-LMSSC)
- **Model type:** [Wav2Vec2ForCTC](https://huggingface.co/transformers/v4.9.2/model_doc/wav2vec2.html#transformers.Wav2Vec2ForCTC)
- **Language:** French
- **License:** MIT
- **Finetuned from model:** [facebook/wav2vec2-base-fr-voxpopul... | {"language": "fr", "license": "mit", "library_name": "transformers", "tags": ["audio", "automatic-speech-recognition", "speech", "phonemize", "phoneme"], "datasets": ["Cnam-LMSSC/vibravox"], "metrics": ["per"], "model-index": [{"name": "Wav2Vec2-base French finetuned for Speech-to-Phoneme by LMSSC", "results": [{"task"... | Cnam-LMSSC/phonemizer_body_conducted.in_ear.comply_foam_microphone | null | [
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"dataset:Cnam-LMSSC/vibravox",
"license:mit",
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] | null | 2024-04-11T00:37:12+00:00 | [] | [
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| Model Card
==========
* Developed by: Cnam-LMSSC
* Model type: Wav2Vec2ForCTC
* Language: French
* License: MIT
* Finetuned from model: facebook/wav2vec2-base-fr-voxpopuli-v2
* Finetuned dataset: 'body\_conducted.in\_ear.comply\_foam\_microphone' audio of the 'speech\_clean' subset of Cnam-LMSSC/vibravox
* Samplerate... | [] | [
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] |
text-generation | transformers |
## Base Model:
We made a LLM model with davidkim205/nox-solar-10.7b-v4
## Model Description
We use QDoRA(256, 64) and NEFTune on LLM Fine-tuning lr = 1e-5, NEFTune = 5
## Train Detail
Our changed private data used, 5 epoch train, and parameter changed
## Others
We are making LLM model for Kolon ! | {"language": ["ko", "en"], "license": "cc-by-nc-4.0"} | gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.1 | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"conversational",
"ko",
"en",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T00:39:23+00:00 | [] | [
"ko",
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#transformers #pytorch #llama #text-generation #conversational #ko #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Base Model:
We made a LLM model with davidkim205/nox-solar-10.7b-v4
## Model Description
We use QDoRA(256, 64) and NEFTune on LLM Fine-tuning lr = 1e-5, NEFTune = 5
## Train Detail
Our changed private data used, 5 epoch train, and parameter changed
## Others
We are making LLM model for Kolon ! | [
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"## Train Detail\nOur changed private data used, 5 epoch train, and parameter changed",
"## Others\nWe are making LLM model for Kolon ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/jif571h | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T00:43:01+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... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5-small-finetuned-lyric-generationNewestdiscovery
This model is a fine-tuned version of [google/mt5-small](https://huggingface... | {"license": "apache-2.0", "tags": ["missing lyric generation Newest2", "generated_from_trainer"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-small-finetuned-lyric-generationNewestdiscovery", "results": []}]} | ShushantLLM/mt5-small-finetuned-lyric-generationNewestdiscovery | null | [
"transformers",
"safetensors",
"mt5",
"text2text-generation",
"missing lyric generation Newest2",
"generated_from_trainer",
"base_model:google/mt5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T00:50:21+00:00 | [] | [] | TAGS
#transformers #safetensors #mt5 #text2text-generation #missing lyric generation Newest2 #generated_from_trainer #base_model-google/mt5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mt5-small-finetuned-lyric-generationNewestdiscovery
This model is a fine-tuned version of google/mt5-small on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# mt5-small-finetuned-lyric-generationNewestdiscovery\n\nThis model is a fine-tuned version of google/mt5-small on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_batch64_v2 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T00:52:41+00:00 | [] | [] | TAGS
#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
"# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-trained agents included.",
"#... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712796933573x199732571973589200
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["THEUS/KOF_style"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1712796933573x199732571973589200 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:THEUS/KOF_style",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-11T00:55:47+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/KOF_style #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712796933573x199732571973589200
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1712796933573x199732571973589200\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
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null | null |
# rinaldow/LogoS-7Bx2-MoE-13B-v0.2-Q5_K_S-GGUF
This model was converted to GGUF format from [`RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2`](https://huggingface.co/RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [... | {"language": ["en", "es"], "license": "apache-2.0", "tags": ["moe", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B", "TomGrc/FusionNet_7Bx2_MoE_14B"], "model-index": [{"name": "LogoS-7Bx2-MoE-13B-v0.1", "results": [{"task": {"type": "text-generation", "name... | rinaldow/LogoS-7Bx2-MoE-13B-v0.2-Q5_K_S-GGUF | null | [
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|
# rinaldow/LogoS-7Bx2-MoE-13B-v0.2-Q5_K_S-GGUF
This model was converted to GGUF format from 'RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
"# rinaldow/LogoS-7Bx2-MoE-13B-v0.2-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL ser... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# kuntur-peru-legal-es-gemma-2b-it
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "kuntur-peru-legal-es-gemma-2b-it", "results": []}]} | daqc/kuntur-peru-legal-es-gemma-2b-it | null | [
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"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b-it #license-gemma #has_space #region-us
| kuntur-peru-legal-es-gemma-2b-it
================================
This model is a fine-tuned version of google/gemma-2b-it on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1387
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 66\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 4\n* eval\\_b... | [
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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. -->
# V0410MP6
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": "V0410MP6", "results": []}]} | Litzy619/V0410MP6 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-11T00:58:35+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0410MP6
========
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: 0.1573
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.03\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 epsilon=... | [
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"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: 0.03\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_step... |
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": []} | neotran/gemma-1.1-2b-it-med-qa | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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": []} | potradovec/gpt2-reuters-tokenizer | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# imdb_classification_roberta
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unkn... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "imdb_classification_roberta", "results": []}]} | ltuzova/imdb_classification_roberta | null | [
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"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
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] | null | 2024-04-11T01:05:36+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| imdb\_classification\_roberta
=============================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2211
* Accuracy: 0.9531
* F1 Macro: 0.9531
Model description
-----------------
More information needed
Intend... | [
"### 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:... | [
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