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null | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | dbands/Phi-3-mini-4k-code-instructions-122k-alpaca-style-lora | null | [
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# Uploaded model
- Developed by: dbands
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
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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
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text-generation | transformers | Local-Novel-LLM-project様の [Assistance](https://huggingface.co/Local-Novel-LLM-project/Assistance) をGGUF形式に変換したものです。
K量子化モデルについてもiMatrix適用してあります。
iMatrixテキストはTFMC様の[c4_en_ja_imatrix.txt](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用しています。
| {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned"], "pipeline_tag": "text-generation"} | MCZK/Assistance-7B-GGUF | null | [
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| Local-Novel-LLM-project様の Assistance をGGUF形式に変換したものです。
K量子化モデルについてもiMatrix適用してあります。
iMatrixテキストはTFMC様のc4_en_ja_imatrix.txtを使用しています。
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null | null | Are you tired of struggling with disk partitioning issues? Say hello to your new best friend in the digital world: Minitool Partition Wizard Server Edition. This powerful software is designed to make disk management a breeze, offering a wide range of features to meet your every need.
Download Minitool Partition Wizard... | {} | Kaka786/MinitoolPartitionWizard | null | [
"region:us"
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#region-us
| Are you tired of struggling with disk partitioning issues? Say hello to your new best friend in the digital world: Minitool Partition Wizard Server Edition. This powerful software is designed to make disk management a breeze, offering a wide range of features to meet your every need.
Download Minitool Partition Wizard... | [] | [
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feature-extraction | sentence-transformers | The model is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for the following use case:
This model is designed to support various applications in natural language processing and understanding.
## How to Use
This model can be easily integrated into your NLP pipeline for tasks such as text classifica... | {"language": ["en", "en", "en", "en", "en", "en", "en"], "license": "apache-2.0", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb", "Events", "Meetups", "Networking", "Community", "Social"], "datasets": ["fine-tuned/jina-embeddings-v2-base-en-03052024-x8ew-webapp", "allenai/c4"], "p... | fine-tuned/jina-embeddings-v2-base-en-03052024-x8ew-webapp | null | [
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This model is designed to support various applications in natural language processing and understanding.
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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": []} | SageLiao/llava-v1.5-7b-finetune-upload | 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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question-answering | transformers |
<p align="center" style="margin:0;padding:0">
<img src="https://cdn-uploads.huggingface.co/production/uploads/65e04544f59f66e0e072dc5c/b-OsZLNJtPHMwzbgwmGlV.png" alt="GovLLM Ultra banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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<h1... | {"language": ["nl"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "text-generation", "peft", "geitje", "conversational", "question-answering"], "datasets": ["Nelis5174473/Dutch-QA-Pairs-Rijksoverheid"], "widget": [{"messages": [{"role": "user", "content": "What is your ... | Nelis5174473/GovLLM | null | [
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<em>A question answering model about the Dutch Government.</em>
... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# awwab-ahmed/bert-base-arabic-camelbert-mix-finetuned-AR-dotted-mediumPlus
This model is a fine-tuned version of [CAMeL-Lab/bert-base-a... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "CAMeL-Lab/bert-base-arabic-camelbert-mix", "model-index": [{"name": "awwab-ahmed/bert-base-arabic-camelbert-mix-finetuned-AR-dotted-mediumPlus", "results": []}]} | awwab-ahmed/bert-base-arabic-camelbert-mix-finetuned-AR-dotted-mediumPlus | null | [
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| awwab-ahmed/bert-base-arabic-camelbert-mix-finetuned-AR-dotted-mediumPlus
=========================================================================
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-mix on an unknown dataset.
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* Train L... | [
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text-generation | transformers |
# karasu-moe1
karasu-moe is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [niryuu/Karasu-1.1b-chat-vector](https://huggingface.co/niryuu/Karasu-1.1b-chat-vector)
* [lightblue/karasu-1.1B](https:/... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "niryuu/Karasu-1.1b-chat-vector", "lightblue/karasu-1.1B"], "base_model": ["niryuu/Karasu-1.1b-chat-vector", "lightblue/karasu-1.1B"]} | aipib/karasu-moe1 | null | [
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# karasu-moe1
karasu-moe is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* niryuu/Karasu-1.1b-chat-vector
* lightblue/karasu-1.1B
## Configuration
## Usage
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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. -->
# Whisper Base Noise Ko - Dearlie
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/... | {"language": ["ko"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["AIHub/noise"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Base Noise Ko - Dearlie", "results": []}]} | Dearlie/whisper-noise2 | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"ko",
"dataset:AIHub/noise",
"base_model:openai/whisper-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T12:25:39+00:00 | [] | [
"ko"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #ko #dataset-AIHub/noise #base_model-openai/whisper-base #license-apache-2.0 #endpoints_compatible #region-us
| Whisper Base Noise Ko - Dearlie
===============================
This model is a fine-tuned version of openai/whisper-base on the Noise Data dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3670
* Cer: 57.4924
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\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* lr\\_scheduler\\_warmup\\_steps:... | [
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null | null |
# #llama-3 #roleplay
GGUF-IQ-Imatrix quants for [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3).
> [!IMPORTANT]
> These quants have already been done after the fixes from [llama.cpp/pull/6920](https://github.com/ggerganov/llama.cpp/pull/6920). <br>
> Use **KoboldCpp version 1.64**... | {"license": "cc-by-4.0"} | Lewdiculous/L3-TheSpice-8b-v0.8.3-GGUF-IQ-Imatrix | null | [
"gguf",
"license:cc-by-4.0",
"region:us"
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#gguf #license-cc-by-4.0 #region-us
|
# #llama-3 #roleplay
GGUF-IQ-Imatrix quants for cgato/L3-TheSpice-8b-v0.8.3.
> [!IMPORTANT]
> These quants have already been done after the fixes from URL <br>
> Use KoboldCpp version 1.64 or higher.
> [!NOTE]
> Prompt formatting... <br>
> Prompt format is relatively simple, author seems to recommend ChatML.
!im... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
OpenCodeInterpreter-DS-6.7B - bnb 4bits
- Model creator: https://huggingface.co/m-a-p/
- Original model: https://huggingface... | {} | RichardErkhov/m-a-p_-_OpenCodeInterpreter-DS-6.7B-4bits | null | [
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"conversational",
"arxiv:2402.14658",
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"endpoints_compatible",
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"4-bit",
"region:us"
] | null | 2024-05-03T12:26:50+00:00 | [
"2402.14658"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-2402.14658 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
OpenCodeInterpreter-DS-6.7B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
pipeline\_tag: text-generation
tags:
* code
license: apache-2.0
---
Ope... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** Shanwun
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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-3-8b-Instruct-bnb-4bit"} | Shanwun/uncdrew | null | [
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"base_model:unsloth/llama-3-8b-Instruct-bnb-4bit",
"license:apache-2.0",
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|
# Uploaded model
- Developed by: Shanwun
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | raulgadea/Reinforce-Pixelcopter-PLE-v0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-05-03T12:29:37+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
text-generation | transformers | # Llama3-ChatQA-1.5-8B-lora
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from [nvidia/Llama3-ChatQA-1.5-8B](https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B) and uses [meta-llama/Meta-Llama-3... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["mergekit", "peft", "nvidia", "chatqa-1.5", "chatqa", "llama-3", "pytorch"], "base_model": ["meta-llama/Meta-Llama-3-8B", "nvidia/Llama3-ChatQA-1.5-8B"], "pipeline_tag": "text-generation"} | beratcmn/Llama3-ChatQA-1.5-8B-lora | null | [
"transformers",
"safetensors",
"mergekit",
"peft",
"nvidia",
"chatqa-1.5",
"chatqa",
"llama-3",
"pytorch",
"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T12:29:56+00:00 | [] | [
"en"
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| # Llama3-ChatQA-1.5-8B-lora
This is a LoRA extracted from a language model. It was extracted using mergekit.
## LoRA Details
This LoRA adapter was extracted from nvidia/Llama3-ChatQA-1.5-8B and uses meta-llama/Meta-Llama-3-8B as a base.
### Parameters
The following command was used to extract this LoRA adapter:
| [
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"### Parameters\n\nThe following command was used to extract th... | [
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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": []} | golf2248/cn73ttt | null | [
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"conversational",
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] | null | 2024-05-03T12:30:47+00:00 | [
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
stablelm-2-zephyr-1_6b - bnb 4bits
- Model creator: https://huggingface.co/stabilityai/
- Original model: https://huggingfac... | {} | RichardErkhov/stabilityai_-_stablelm-2-zephyr-1_6b-4bits | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:2305.18290",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-05-03T12:32:36+00:00 | [
"2305.18290"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-2305.18290 #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
stablelm-2-zephyr-1\_6b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
datasets:
* HuggingFaceH4/ultrachat\_200k
* allenai/ultrafeedback\_binarized\_cleaned
* meta-math... | [
"### Training Dataset\n\n\nThe dataset is comprised of a mixture of open datasets large-scale datasets available on the HuggingFace Hub:\n\n\n1. SFT Datasets\n\n\n* HuggingFaceH4/ultrachat\\_200k\n* meta-math/MetaMathQA\n* WizardLM/WizardLM\\_evol\\_instruct\\_V2\\_196k\n* Open-Orca/SlimOrca\n* openchat/openchat\\_... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
OpenCodeInterpreter-DS-6.7B - bnb 8bits
- Model creator: https://huggingface.co/m-a-p/
- Original model: https://huggingface... | {} | RichardErkhov/m-a-p_-_OpenCodeInterpreter-DS-6.7B-8bits | null | [
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"arxiv:2402.14658",
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"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-05-03T12:33:34+00:00 | [
"2402.14658"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2402.14658 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
OpenCodeInterpreter-DS-6.7B - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
pipeline\_tag: text-generation
tags:
* code
license: apache-2.0
---
Ope... | [] | [
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
stablelm-2-zephyr-1_6b - bnb 8bits
- Model creator: https://huggingface.co/stabilityai/
- Original model: https://huggingfac... | {} | RichardErkhov/stabilityai_-_stablelm-2-zephyr-1_6b-8bits | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:2305.18290",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-05-03T12:34:34+00:00 | [
"2305.18290"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-2305.18290 #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
stablelm-2-zephyr-1\_6b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
datasets:
* HuggingFaceH4/ultrachat\_200k
* allenai/ultrafeedback\_binarized\_cleaned
* meta-math... | [
"### Training Dataset\n\n\nThe dataset is comprised of a mixture of open datasets large-scale datasets available on the HuggingFace Hub:\n\n\n1. SFT Datasets\n\n\n* HuggingFaceH4/ultrachat\\_200k\n* meta-math/MetaMathQA\n* WizardLM/WizardLM\\_evol\\_instruct\\_V2\\_196k\n* Open-Orca/SlimOrca\n* openchat/openchat\\_... | [
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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. -->
# Whisper Tiny chinese - VingeNie
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whispe... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny chinese - VingeNie", "results": []}]} | VingeNie/whisper-tiny-zh_CN_lr4_lowdata | null | [
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| Whisper Tiny chinese - VingeNie
===============================
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7976
* Cer Ortho: 35.9855
* Cer: 29.9636
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_step... | [
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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/pwk36wu | null | [
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# Model Card for Model ID
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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 |
<br/><br/>
8bpw/h8 exl2 quantization of [xxx777xxxASD/L3-ChaoticSoliloquy-v1.5-4x8B](https://huggingface.co/xxx777xxxASD/L3-ChaoticSoliloquy-v1.5-4x8B) using default exllamav2 calibration dataset.
---
**ORIGINAL CARD:**
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
stablelm-2-1_6b - bnb 4bits
- Model creator: https://huggingface.co/stabilityai/
- Original model: https://huggingface.co/st... | {} | RichardErkhov/stabilityai_-_stablelm-2-1_6b-4bits | null | [
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Github
Discord
Request more models
stablelm-2-1\_6b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: other
datasets:
* tiiuae/falcon-refinedweb
* togethercomputer/RedPajama-Data-1T
* uonlp/Cultura... | [
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null | null | # Senko-san-AI
Senko-san AI, a cutting-edge 33 billion parameter large language model.
This page contains version changelogs for Senko-san AI.
to visit the official site [click here](https://senkosan.love/ai.html)
# Changelog
v1 (April 16, 2023)
- initial release
v1.1 (September 22, 2023)
- slightly faster response... | {"tags": ["Senko-san AI"]} | Senko-sanAI/Senko-sanAI | null | [
"Senko-san AI",
"region:us"
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#Senko-san AI #region-us
| # Senko-san-AI
Senko-san AI, a cutting-edge 33 billion parameter large language model.
This page contains version changelogs for Senko-san AI.
to visit the official site click here
# Changelog
v1 (April 16, 2023)
- initial release
v1.1 (September 22, 2023)
- slightly faster response to the '!ai <prompt>' command
-... | [
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text-generation | mlx |
# aloizidis/phi3-mini-4k-8bit-mlx
This model was converted to MLX format from [`microsoft/Phi-3-mini-4k-instruct`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
``... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "mlx"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfr... | aloizidis/phi3-mini-4k-8bit-mlx | null | [
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# aloizidis/phi3-mini-4k-8bit-mlx
This model was converted to MLX format from ['microsoft/Phi-3-mini-4k-instruct']() using mlx-lm version 0.12.1.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
stablelm-2-1_6b - bnb 8bits
- Model creator: https://huggingface.co/stabilityai/
- Original model: https://huggingface.co/st... | {} | RichardErkhov/stabilityai_-_stablelm-2-1_6b-8bits | null | [
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Github
Discord
Request more models
stablelm-2-1\_6b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: other
datasets:
* tiiuae/falcon-refinedweb
* togethercomputer/RedPajama-Data-1T
* uonlp/Cultura... | [
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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": []} | Oshchepkov/saiga30 | null | [
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# Model Card for Model ID
## Model Details
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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": []} | OwOpeepeepoopoo/herewegoagain13 | 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. -->
# robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
"# robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-2\n\nThis model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information n... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DutchMjr/Methed-Emaid-13B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "library_name": "transformers", "base_model": "DutchMjr/Methed-Emaid-13B", "quantized_by": "mradermacher"} | mradermacher/Methed-Emaid-13B-GGUF | null | [
"transformers",
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"base_model:DutchMjr/Methed-Emaid-13B",
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"region:us"
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"en"
] | TAGS
#transformers #gguf #en #base_model-DutchMjr/Methed-Emaid-13B #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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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
OpenCodeInterpreter-DS-6.7B - GGUF
- Model creator: https://huggingface.co/m-a-p/
- Original model: https://huggingface.co/m... | {} | RichardErkhov/m-a-p_-_OpenCodeInterpreter-DS-6.7B-gguf | null | [
"gguf",
"arxiv:2402.14658",
"region:us"
] | null | 2024-05-03T12:43:26+00:00 | [
"2402.14658"
] | [] | TAGS
#gguf #arxiv-2402.14658 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
OpenCodeInterpreter-DS-6.7B - GGUF
* Model creator: URL
* Original model: URL
Name: OpenCodeInterpreter-DS-6.7B.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.36GB
Name: OpenCodeInterpreter-DS-6.7B.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-7b-instruct-v1.5 - bnb 4bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://h... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-7b-instruct-v1.5-4bits | null | [
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"llama",
"text-generation",
"conversational",
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"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-05-03T12:44:26+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-7b-instruct-v1.5 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek Co... | [
"### 1. Introduction of Deepseek-Coder-7B-Instruct v1.5\n\nDeepseek-Coder-7B-Instruct-v1.5 is continue pre-trained from Deepseek-LLM 7B on 2T tokens by employing a window size of 4K and next token prediction objective, and then fine-tuned on 2B tokens of instruction data.\n\n- Home Page: DeepSeek\n- Repository: dee... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** duxx
- **License:** apache-2.0
- **Finetuned from model :** duxx/rag-v.01
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/unsloth/main/images/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "duxx/rag-v.01"} | duxx/rag-v.02 | null | [
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|
# Uploaded model
- Developed by: duxx
- License: apache-2.0
- Finetuned from model : duxx/rag-v.01
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: duxx\n- License: apache-2.0\n- Finetuned from model : duxx/rag-v.01\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-sent-rebuilder-v2
This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) o... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "ai-forever/ruT5-base", "model-index": [{"name": "t5-sent-rebuilder-v2", "results": []}]} | XvKuoMing/t5-sent-rebuilder-v2 | null | [
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"text-generation-inference",
"region:us"
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| t5-sent-rebuilder-v2
====================
This model is a fine-tuned version of ai-forever/ruT5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7782
* Bleu: 44.0278
* Meteor: 0.6656
* Gen Len: 8.234
Model description
-----------------
More information needed
Inte... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 6\n* mixed\\_prec... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# batch-size-16_FFPP-Raw_1FPS_faces-expand-0-aligned
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-windo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "batch-size-16_FFPP-Raw_1FPS_faces-expand-0-aligned", "results": [{"task": {"type": "image-cla... | hchcsuim/batch-size-16_FFPP-Raw_1FPS_faces-expand-0-aligned | null | [
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"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T12:46:46+00:00 | [] | [] | TAGS
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| batch-size-16\_FFPP-Raw\_1FPS\_faces-expand-0-aligned
=====================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0768
* Accuracy: 0.9718
* Recall: 0.... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-7b-request_to_configuration
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-7b", "model-index": [{"name": "gemma-7b-request_to_configuration", "results": []}]} | simengel/gemma-7b-request_to_configuration | null | [
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"safetensors",
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"generated_from_trainer",
"base_model:google/gemma-7b",
"license:gemma",
"region:us"
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b #license-gemma #region-us
|
# gemma-7b-request_to_configuration
This model is a fine-tuned version of google/gemma-7b 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 hype... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | elisamammi/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-05-03T12:52:33+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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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": []} | golf2248/060g7wb | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T12:54:08+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<br/><br/>
8bpw/h8 exl2 quantization of [Endevor/InfinityRP-v2-8B](https://huggingface.co/Endevor/InfinityRP-v2-8B) using default exllamav2 calibration dataset.
---
**ORIGINAL CARD:**

The idea is the same as [InfinityRP v1](https://huggingface.co/Endevor/InfinityRP-v... | {"language": ["en"], "license": "apache-2.0", "tags": ["safetensors", "llama", "not-for-all-audiences", "nsfw", "rp", "roleplay"], "pipeline_tag": "text-generation"} | JayhC/InfinityRP-v2-8B-8bpw-h8-exl2 | null | [
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|
<br/><br/>
8bpw/h8 exl2 quantization of Endevor/InfinityRP-v2-8B using default exllamav2 calibration dataset.
---
ORIGINAL CARD:
!example
The idea is the same as InfinityRP v1, but this one is Llama 3 with 16k ctx! Have fun...
### Prompt format: Alpaca.
''"You are now in roleplay chat mode. Engage in an endless c... | [
"### Prompt format: Alpaca.\n''\"You are now in roleplay chat mode. Engage in an endless chat, always with a creative response. Follow lengths very precisely and create paragraphs accurately. Always wait your turn, next actions and responses. Your internal thoughts are wrapped with ' marks.\"''\n\nUser Message Pref... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-7b-instruct-v1.5 - bnb 8bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://h... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-7b-instruct-v1.5-8bits | null | [
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| Quantization made by Richard Erkhov.
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deepseek-coder-7b-instruct-v1.5 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek Co... | [
"### 1. Introduction of Deepseek-Coder-7B-Instruct v1.5\n\nDeepseek-Coder-7B-Instruct-v1.5 is continue pre-trained from Deepseek-LLM 7B on 2T tokens by employing a window size of 4K and next token prediction objective, and then fine-tuned on 2B tokens of instruction data.\n\n- Home Page: DeepSeek\n- Repository: dee... | [
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text-generation | transformers |
# Model Card for Model ID
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# karasu-moe
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# karasu-moe
karasu-moe is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* niryuu/Karasu-1.1b-chat-vector
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text-generation | transformers |
# Uploaded model
- **Developed by:** VinhLlama
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b
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# Uploaded model
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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. -->
# loha_fine_tuned_copa
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/be... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "loha_fine_tuned_copa", "results": []}]} | lenatr99/loha_fine_tuned_copa | null | [
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"license:apache-2.0",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #region-us
| loha\_fine\_tuned\_copa
=======================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6922
* Accuracy: 0.5
* F1: 0.5
Model description
-----------------
More information needed
Intended uses... | [
"### 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* training\\_steps: 400",
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null | transformers |
# nonsonpratico/phi3-3.8-128k-italian-v2-Q4_K_M-GGUF
This model was converted to GGUF format from [`nonsonpratico/phi3-3.8-128k-italian-v2`](https://huggingface.co/nonsonpratico/phi3-3.8-128k-italian-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer ... | {"language": ["it"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["cosimoiaia/Loquace-102k"]} | nonsonpratico/phi3-3.8-128k-italian-v2-Q4_K_M-GGUF | null | [
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"region:us"
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#transformers #gguf #llama-cpp #gguf-my-repo #it #dataset-cosimoiaia/Loquace-102k #license-apache-2.0 #endpoints_compatible #region-us
|
# nonsonpratico/phi3-3.8-128k-italian-v2-Q4_K_M-GGUF
This model was converted to GGUF format from 'nonsonpratico/phi3-3.8-128k-italian-v2' 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 th... | [
"# nonsonpratico/phi3-3.8-128k-italian-v2-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'nonsonpratico/phi3-3.8-128k-italian-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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": []} | ferrazzipietro/LS_Mistral-7B-v0.1_adapters_en.layer1_NoQuant_16_32_0.01_8_0.0002 | null | [
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | # lina-speech (beta)
Exploring "linear attention" for text-to-speech.
It predicts audio codec "à la" [MusicGen](https://arxiv.org/abs/2306.05284) : delayed residual vector quantizers so that we do not need multiple models.
Featuring [RWKV](https://github.com/BlinkDL/RWKV-LM), [Mamba](https://github.com/state-spaces/... | {"license": "cc-by-nc-4.0"} | lina-speech/all-models | null | [
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-05-03T13:12:32+00:00 | [
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#arxiv-2306.05284 #license-cc-by-nc-4.0 #region-us
| lina-speech (beta)
==================
Exploring "linear attention" for text-to-speech.
It predicts audio codec "à la" MusicGen : delayed residual vector quantizers so that we do not need multiple models.
Featuring RWKV, Mamba, Gated Linear Attention.
Compared to other LM TTS model :
* Can be easily pretrained... | [
"### Models",
"### Installation\n\n\nFollowing the linear complexity LM you choose, follow respective instructions first:\n\n\n* For Mamba check the official repo.\n* For GLA/RWKV inference check flash-linear-attention.\n* For RWKV training check RWKV-LM",
"### Acknowledgment\n\n\n* The RWKV authors and the com... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
mid level trained on Jack O'Neill request response
## 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 H... | {"library_name": "transformers", "tags": []} | nachtwindecho/mistralai-Code-Instruct-Finetune-SG1-V4 | null | [
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|
# Model Card for Model ID
mid level trained on Jack O'Neill request response
## 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 [optiona... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-7b-instruct-v1.5 - GGUF
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://huggin... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-7b-instruct-v1.5-gguf | null | [
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-7b-instruct-v1.5 - GGUF
* Model creator: URL
* Original model: URL
Name: deepseek-coder-7b-instruct-v1.5.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: deepseek-coder-7b-instruct-v1.5.IQ3\_XS.gguf, Quant method: IQ3\... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
starcoder2-15b - bnb 4bits
- Model creator: https://huggingface.co/bigcode/
- Original model: https://huggingface.co/bigcode... | {} | RichardErkhov/bigcode_-_starcoder2-15b-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
starcoder2-15b - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
pipeline_tag: text-generation
inference:
parameters:
temperature: 0.2
top_p: 0.95
widget:
- text: 'def print_hello_world():'
... | [
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null | transformers |
# Uploaded model
- **Developed by:** Shanwun
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Shanwun/uncdrew-gguf | null | [
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|
# Uploaded model
- Developed by: Shanwun
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
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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": []} | rohangbs/death_se42-type2_May2024 | null | [
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] | [] | TAGS
#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]:
- Shared by [optional]:
- Model type:
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video-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. -->
# videomae-base-finetuned-numbers-augmented2
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-numbers-augmented2", "results": []}]} | latif98/videomae-base-finetuned-numbers-augmented2 | null | [
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| videomae-base-finetuned-numbers-augmented2
==========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9722
* Accuracy: 0.3269
* F1: 0.2716
* Precision: 0.3970
* Recall: 0.3277
Mode... | [
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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": []} | golf2248/sjrh9dx | null | [
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|
# Model Card for Model ID
## 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-to-speech | null | pretrained models used in https://github.com/RVC-Boss/GPT-SoVITS | {"license": "mit", "pipeline_tag": "text-to-speech"} | blaise-tk/GPT-SoVITS-Fork | null | [
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#text-to-speech #license-mit #region-us
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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": []} | ferrazzipietro/LS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_16_32_0.01_2_0.0002 | null | [
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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": []} | golf2248/uv50wfi | null | [
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|
# Model Card for Model ID
## 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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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": []} | megajajo/phi-1_5-finetuned-kotlin-completion | 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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null | null | <!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/WEMAKE-CX/Llama-3-8B-Instruct-V41-1048k
| {} | mradermacher/Llama-3-8B-Instruct-V41-1048k-i1-GGUF | null | [
"gguf",
"region:us"
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#gguf #region-us
|
weighted/imatrix quants of URL
| [] | [
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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. -->
# loha_fine_tuned_cb
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "loha_fine_tuned_cb", "results": []}]} | lenatr99/loha_fine_tuned_cb | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:google-bert/bert-base-uncased",
"license:apache-2.0",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #region-us
| loha\_fine\_tuned\_cb
=====================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3194
* Accuracy: 0.3182
* F1: 0.1536
Model description
-----------------
More information needed
Intended us... | [
"### 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* training\\_steps: 400",
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/adamo1139/Yi-34B-200K-XLCTX
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "adamo1139/Yi-34B-200K-XLCTX", "license_link": "LICENSE", "license_name": "yi-license", "quantized_by": "mradermacher"} | mradermacher/Yi-34B-200K-XLCTX-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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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": []} | ferrazzipietro/LS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_16_32_0.01_4_0.0002 | 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 |
# Mistral-7b-Instruct-v0.1-fp16-ov
* Model creator: [Mistral AI](https://huggingface.co/mistralai)
* Original model: [Mistral-7b-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
## Description
This is [Mistral-7b-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) mo... | {"language": ["en"], "license": "apache-2.0"} | OpenVINO/mistral-7b-instruct-v0.1-fp16-ov | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T13:29:02+00:00 | [] | [
"en"
] | TAGS
#transformers #openvino #mistral #text-generation #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mistral-7b-Instruct-v0.1-fp16-ov
* Model creator: Mistral AI
* Original model: Mistral-7b-Instruct-v0.1
## Description
This is Mistral-7b-Instruct-v0.1 model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to FP16.
## Compatibility
The provided OpenVINO™ IR model is ... | [
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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": []} | OwOpeepeepoopoo/herewegoagain14 | 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 | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
starcoder2-15b - GGUF
- Model creator: https://huggingface.co/bigcode/
- Original model: https://huggingface.co/bigcode/star... | {} | RichardErkhov/bigcode_-_starcoder2-15b-gguf | null | [
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#gguf #arxiv-2305.13245 #arxiv-2205.14135 #arxiv-2004.05150 #arxiv-2207.14255 #arxiv-2402.19173 #region-us
| Quantization made by Richard Erkhov.
Github
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starcoder2-15b - GGUF
* Model creator: URL
* Original model: URL
Name: starcoder2-15b.Q2\_K.gguf, Quant method: Q2\_K, Size: 5.77GB
Name: starcoder2-15b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 6.25GB
Name: starcoder2-15b.IQ3\_S.gguf,... | [
"### Intended use\n\n\nThe model was trained on GitHub code as well as additional selected data sources such as Arxiv and Wikipedia. As such it is *not* an instruction model and commands like \"Write a function that computes the square root.\" do not work well.",
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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": []} | abc88767/model56 | 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": []} | mostlyai/datallm-v2-meta-llama-3-8b | 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 |
<br/><br/>
3.2bpw/h6 exl2 quantization of [NeverSleep/Llama-3-Lumimaid-70B-v0.1](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-70B-v0.1) using default exllamav2 calibration dataset.
---
**ORIGINAL CARD:**
## Lumimaid 0.1
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/produ... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"]} | JayhC/Llama-3-Lumimaid-70B-v0.1-3.2bpw-h6-exl2 | null | [
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|
<br/><br/>
3.2bpw/h6 exl2 quantization of NeverSleep/Llama-3-Lumimaid-70B-v0.1 using default exllamav2 calibration dataset.
---
ORIGINAL CARD:
## Lumimaid 0.1
<center><div style="width: 100%;">
<img src="URL style="display: block; margin: auto;">
</div></center>
This model uses the Llama3 prompting format
Ll... | [
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null | transformers |
# Uploaded model
- **Developed by:** yadz45
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-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/unsloth/ma... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "datasets": ["yadz45/V2"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | yadz45/IA_V1-1 | null | [
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|
# Uploaded model
- Developed by: yadz45
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | transformers |
# Llama3-ChatQA-1.5-8B-256K
I tried to achive long context RAG pipeline with this model but I have very limited resources to test this workflow. Keep in mind that this is an experimentation.
This model is an 'amalgamation' of `winglian/llama-3-8b-256k-PoSE` and `nvidia/Llama3-ChatQA-1.5-8B`.
## Recipe
First I ext... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["mergekit", "peft", "nvidia", "chatqa-1.5", "chatqa", "llama-3", "pytorch"], "base_model": ["meta-llama/Meta-Llama-3-8B", "nvidia/Llama3-ChatQA-1.5-8B", "winglian/llama-3-8b-256k-PoSE"], "pipeline_tag": "text-generation"} | beratcmn/Llama3-ChatQA-1.5-8B-256K | null | [
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|
# Llama3-ChatQA-1.5-8B-256K
I tried to achive long context RAG pipeline with this model but I have very limited resources to test this workflow. Keep in mind that this is an experimentation.
This model is an 'amalgamation' of 'winglian/llama-3-8b-256k-PoSE' and 'nvidia/Llama3-ChatQA-1.5-8B'.
## Recipe
First I ext... | [
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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": []} | ferrazzipietro/LS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_16_32_0.01_8_0.0002 | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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- License... | [
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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": []} | cilantro9246/0wgp5uk | null | [
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|
# Model Card for Model ID
## 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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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... | Fetanos/Reinforcement_Learning | null | [
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"LunarLander-v2",
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#stable-baselines3 #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 |
# 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": []} | massimilianowosz/Llama-3-8B-instruct-Japanese-Chef | null | [
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"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T13:38:14+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]:
- Model type:
- Language(s) (NLP):
- License... | [
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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-7B-Instruct-v0.2-finetune-SWE_70_30_EN
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-finetune-SWE_70_30_EN", "results": []}]} | JuanjoLopez19/Mistral-7B-Instruct-v0.2-finetune-SWE_70_30_EN | null | [
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#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| Mistral-7B-Instruct-v0.2-finetune-SWE\_70\_30\_EN
=================================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0943
Model description
-----------------
More inf... | [
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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": []} | wuzhongyanqiu/code-search-net-tokenizer | null | [
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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null | null |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
| {"license": "apache-2.0", "title": "Pneumonia Detection", "emoji": "\ud83c\udfe2", "colorFrom": "blue", "colorTo": "red", "sdk": "gradio", "sdk_version": "4.25.0", "app_file": "app.py", "pinned": false} | jeysshon/Isatron_V2 | null | [
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#license-apache-2.0 #region-us
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Check out the configuration reference at URL
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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": []} | golf2248/xdxodp6 | 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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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="Dat1710/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"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": ... | Dat1710/q-FrozenLake-v1-4x4-noSlippery | null | [
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#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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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-3-8B-Instruct-MoE-spider_full
This model is a fine-tuned version of [VictorDCh/Llama-3-8B-Instruct-MoE](https://huggingfac... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "VictorDCh/Llama-3-8B-Instruct-MoE", "model-index": [{"name": "Llama-3-8B-Instruct-MoE-spider_full", "results": []}]} | VictorDCh/Llama-3-8B-Instruct-MoE-spider_full | null | [
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|
# Llama-3-8B-Instruct-MoE-spider_full
This model is a fine-tuned version of VictorDCh/Llama-3-8B-Instruct-MoE on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rohangbs/death_se42-type2_May2024_Second | 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 |
# Mistral-7b-Instruct-v0.1-int8-ov
* Model creator: [Mistral AI](https://huggingface.co/mistralai)
* Original model: [Mistral-7b-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
## Description
This is [Mistral-7b-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) mo... | {"language": ["en"], "license": "apache-2.0"} | OpenVINO/mistral-7b-instrcut-v0.1-int8-ov | null | [
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|
# Mistral-7b-Instruct-v0.1-int8-ov
* Model creator: Mistral AI
* Original model: Mistral-7b-Instruct-v0.1
## Description
This is Mistral-7b-Instruct-v0.1 model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to INT8 by NNCF.
## Quantization Parameters
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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": []} | golf2248/wtqfpaj | 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 |
# NeuralMillama-3-8B-MS
NeuralMillama-3-8B-MS is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: Kukedlc/NeuralMiLLaMa-8B-slerp
- model: Kukedlc/SmartLlama-3-8B-MS-v0.1
... | {"tags": ["merge", "mergekit", "lazymergekit"]} | Kukedlc/NeuralMillama-3-8B-MS | null | [
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|
# NeuralMillama-3-8B-MS
NeuralMillama-3-8B-MS is a merge of the following models using LazyMergekit:
## Configuration
## Usage
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feature-extraction | sentence-transformers | This model is a fine-tuned version of [**jinaai/jina-embeddings-v2-base-en**](https://huggingface.co/jinaai/jina-embeddings-v2-base-en) designed for the following use case:
This model is designed to support various applications in natural language processing and understanding.
## How to Use
This model can be easily in... | {"language": ["en"], "license": "apache-2.0", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb", "Events", "Meetups", "Networking", "Community", "Social"], "datasets": ["fine-tuned/jina-embeddings-v2-base-en-03052024-73xx-webapp", "allenai/c4"], "pipeline_tag": "feature-extraction"} | fine-tuned/jina-embeddings-v2-base-en-03052024-73xx-webapp | null | [
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"en",
"dataset:fine-tuned/jina-embeddings-v2-base-en-03052024-73xx-webapp",
"dataset:allenai/c4",
"license:apach... | null | 2024-05-03T13:52:22+00:00 | [] | [
"en"
] | TAGS
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| This model is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for the following use case:
This model is designed to support various applications in natural language processing and understanding.
## How to Use
This model can be easily integrated into your NLP pipeline for tasks such as text classific... | [
"## How to Use\nThis model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. Here's a simple example to get you started:"
] | [
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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. -->
# Llama3_instruct_on_charttotext_server
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggin... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Llama3_instruct_on_charttotext_server", "results": []}]} | moetezsa/Llama3_instruct_on_charttotext_server | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-05-03T13:56:58+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# Llama3_instruct_on_charttotext_server
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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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="Sweety07/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"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": ... | Sweety07/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-03T13:57:26+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. -->
# Pho4B-ft
This model is a fine-tuned version of [vinai/PhoGPT-4B](https://huggingface.co/vinai/PhoGPT-4B) on an unknown dataset.
... | {"library_name": "peft", "tags": ["trl", "orpo", "generated_from_trainer"], "base_model": "vinai/PhoGPT-4B", "model-index": [{"name": "Pho4B-ft", "results": []}]} | iamnguyen/Pho4B-ft | null | [
"peft",
"safetensors",
"mpt",
"trl",
"orpo",
"generated_from_trainer",
"custom_code",
"base_model:vinai/PhoGPT-4B",
"region:us"
] | null | 2024-05-03T13:57:36+00:00 | [] | [] | TAGS
#peft #safetensors #mpt #trl #orpo #generated_from_trainer #custom_code #base_model-vinai/PhoGPT-4B #region-us
| Pho4B-ft
========
This model is a fine-tuned version of vinai/PhoGPT-4B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 38.3770
* Rewards/chosen: -3.5500
* Rewards/rejected: -3.5422
* Rewards/accuracies: 0.4533
* Rewards/margins: -0.0077
* Logps/rejected: -35.4224
* Logps/cho... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 8e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#peft #safetensors #mpt #trl #orpo #generated_from_trainer #custom_code #base_model-vinai/PhoGPT-4B #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 8e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* g... | [
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"TAGS\n#peft #safetensors #mpt #trl #orpo #generated_from_trainer #custom_code #base_model-vinai/PhoGPT-4B #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 8e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradien... |
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": []} | vc64/llama2-7b_combinedQA | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T13:57:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | pietroorlandi/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-05-03T13:59:38+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
"TAGS\n#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us \n",
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Doc... | [
39,
206
] | [
"TAGS\n#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us \n# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documenta... |
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="Dat1710/q-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": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | Dat1710/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-03T14:01:14+00:00 | [] | [] | TAGS
#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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] |
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="Sweety07/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 +/- ... | Sweety07/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-03T14:01:15+00:00 | [] | [] | TAGS
#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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] |
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