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text-generation | transformers | # LakoMoor/Silicon-Masha-7B AWQ
- Model creator: [LakoMoor](https://huggingface.co/LakoMoor)
- Original model: [Silicon-Masha-7B](https://huggingface.co/LakoMoor/Silicon-Masha-7B)

## Model Summary
Silicon-Masha-7B is... | {"language": ["en", "ru"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "not-for-all-audiences", "nsfw"], "model_name": "Silicon-Masha-7B", "base_model": ["mistralai/Mistral-7B-v0.1"], "pipeline_tag": "text-generat... | solidrust/Silicon-Masha-7B-AWQ | null | [
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"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T16:35:11+00:00 | [] | [
"en",
"ru"
] | TAGS
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| # LakoMoor/Silicon-Masha-7B AWQ
- Model creator: LakoMoor
- Original model: Silicon-Masha-7B
!Silicon-Masha-7B
## Model Summary
Silicon-Masha-7B is a model aiming to be both strong in RP, be smart and understand Russian, that can follow character maps very well. It is suitable for RP/ERP and general use.
## Promp... | [
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text-generation | transformers | # Not include _./original_ from original repo.
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | kuotient/Meta-Llama-3-8B | null | [
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"en"
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| Not include *./original* from original repo.
============================================
Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instructi... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | transformers |
# Llama-3-SLERP-8B
Llama-3-SLERP-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingf... | {"license": "other", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B-Instruct"]} | mlabonne/Llama-3-SLERP-8B | null | [
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"text-generation-inf... | null | 2024-04-18T16:35:46+00:00 | [] | [] | TAGS
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|
# Llama-3-SLERP-8B
Llama-3-SLERP-8B is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B
* meta-llama/Meta-Llama-3-8B-Instruct
## Configuration
## Usage
| [
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text-generation | transformers | # KatyTheCutie/LemonadeRP-4.5.3 AWQ
- Model creator: [KatyTheCutie](https://huggingface.co/KatyTheCutie)
- Original model: [LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3)

##... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "roleplay"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/LemonadeRP-4.5.3-AWQ | null | [
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"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"roleplay",
"en",
"license:cc-by-4.0",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T16:36:04+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #roleplay #en #license-cc-by-4.0 #text-generation-inference #region-us
| # KatyTheCutie/LemonadeRP-4.5.3 AWQ
- Model creator: KatyTheCutie
- Original model: LemonadeRP-4.5.3
!image/png
## Model Summary
8192 context length. - Reports of context up-to 32K working!
7B roleplay focused model, creativity and less cliché is the focus of this merge.
SillyTavern settings:
!image/png
!image/pn... | [
"# KatyTheCutie/LemonadeRP-4.5.3 AWQ\n\n- Model creator: KatyTheCutie\n- Original model: LemonadeRP-4.5.3\n\n!image/png",
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"# KatyTheCutie/LemonadeRP-4.5.3 AWQ\n\n- Model creator: KatyTheCutie\n- Original model: LemonadeRP-4.5.3\n\n!image/png",
... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | Undi95/Meta-Llama-3-8B-hf | null | [
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"conversational",
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T16:36:23+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
"TAGS\n#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | transformers | # KatyTheCutie/SlushySlerp-7B AWQ
- Model creator: [KatyTheCutie](https://huggingface.co/KatyTheCutie)
- Original model: [SlushySlerp-7B](https://huggingface.co/KatyTheCutie/SlushySlerp-7B)

## Mod... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/SlushySlerp-7B-AWQ | null | [
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"mistral",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-18T16:38:30+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # KatyTheCutie/SlushySlerp-7B AWQ
- Model creator: KatyTheCutie
- Original model: SlushySlerp-7B
!image/jpeg
## Model Summary
a lewd, yet funny mistral slerp merge.
Prompt Template: Unknown, ChatML maybe?
| [
"# KatyTheCutie/SlushySlerp-7B AWQ\n\n- Model creator: KatyTheCutie\n- Original model: SlushySlerp-7B\n\n!image/jpeg",
"## Model Summary\n\na lewd, yet funny mistral slerp merge.\nPrompt Template: Unknown, ChatML maybe?"
] | [
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text-generation | transformers |
# Phi2 Haiku Writer in Italian language
## New version released: https://huggingface.co/WasamiKirua/phi2-haiku-ita-v0.2
<img src="https://i.postimg.cc/TPDVPkj6/haiku1.jpg" alt="cover" border="0" width="1024px">
## Wandb ( The best result I have been able to achive)
<img src="https://i.postimg.cc/wM0Jrnzh/haiku1-1... | {"language": ["it"], "license": "apache-2.0", "tags": ["haiku", "japan", "synthetic"], "datasets": ["WasamiKirua/haiku-phi2-ita"], "task_categories": ["text-generation"]} | WasamiKirua/phi2-haiku-ita-v0.1 | null | [
"transformers",
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"phi",
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"haiku",
"japan",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T16:39:09+00:00 | [] | [
"it"
] | TAGS
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|
# Phi2 Haiku Writer in Italian language
## New version released: URL
<img src="https://i.URL alt="cover" border="0" width="1024px">
## Wandb ( The best result I have been able to achive)
<img src="https://i.URL alt="wandb" border="0" width="1024px">
## Post Merging to the base generation
<img src="https://i.UR... | [
"# Phi2 Haiku Writer in Italian language",
"## New version released: URL\n\n<img src=\"https://i.URL alt=\"cover\" border=\"0\" width=\"1024px\">",
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"## Post Merging to the base ge... | [
"TAGS\n#transformers #safetensors #phi #text-generation #haiku #japan #synthetic #conversational #custom_code #it #dataset-WasamiKirua/haiku-phi2-ita #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | null |
# NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from [`NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE`](https://huggingface.co/NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer ... | {"license": "apache-2.0", "tags": ["moe", "merge", "mergekit", "NousResearch/Hermes-2-Pro-Mistral-7B", "Nexusflow/Starling-LM-7B-beta", "llama-cpp", "gguf-my-repo"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "Nexusflow/Starling-LM-7B-beta"]} | NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE-Q4_K_M-GGUF | null | [
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"NousResearch/Hermes-2-Pro-Mistral-7B",
"Nexusflow/Starling-LM-7B-beta",
"llama-cpp",
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"base_model:Nexusflow/Starling-LM-7B-beta",
"license:apache-2.0",
"region:us"
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#gguf #moe #merge #mergekit #NousResearch/Hermes-2-Pro-Mistral-7B #Nexusflow/Starling-LM-7B-beta #llama-cpp #gguf-my-repo #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-Nexusflow/Starling-LM-7B-beta #license-apache-2.0 #region-us
|
# NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from 'NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE' 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... | [
"# NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE' 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 | null | <!-- header start -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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#gguf #pruna-ai #region-us
|
[](URL target=)
 (NLP):
- License... | [
"# Model Card for Model ID",
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | kelvinho8/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-generation | null |
# Meta-Llama-3-8B-GGUF
- This is GGUF quantized version of [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B si... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B"} | QuantFactory/Meta-Llama-3-8B-GGUF | null | [
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"license:other",
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#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
| Meta-Llama-3-8B-GGUF
====================
* This is GGUF quantized version of Meta-Llama-3-8B
Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 ins... | [] | [
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] |
text-generation | null |
# MaziyarPanahi/Meta-Llama-3-70B-Instruct-GGUF
The GGUF and quantized models here are based on [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) model
## How to download
You can download only the quants you need instead of cloning the entire repository as follows:
... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "16-bit", "GGUF"], "model_name": "Meta-Llama-3-70B-Instruct-GGUF", "pipeline_tag": "text-generation", "inference": false, "model_creator": "MaziyarPanahi", "quantized_by": ... | MaziyarPanahi/Meta-Llama-3-70B-Instruct-GGUF | null | [
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| MaziyarPanahi/Meta-Llama-3-70B-Instruct-GGUF
============================================
The GGUF and quantized models here are based on meta-llama/Meta-Llama-3-70B-Instruct model
How to download
---------------
You can download only the quants you need instead of cloning the entire repository as follows:
Load... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | transformers | # [MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF](https://huggingface.co/MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF)
- Model creator: [meta-llama](https://huggingface.co/meta-llama)
- Original model: [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
The GGUF and quantized... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "16-bit", "GGUF"], "model_name": "Meta-Llama-3-8B-Instruct-GGUF", "pipeline_tag": "text-generation", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "inference": false... | MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF | null | [
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... | null | 2024-04-18T16:43:25+00:00 | [] | [
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| MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF
===========================================
* Model creator: meta-llama
* Original model: meta-llama/Meta-Llama-3-8B-Instruct
The GGUF and quantized models here are based on meta-llama/Meta-Llama-3-8B-Instruct model
How to download
---------------
You can download onl... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | kuotient/Meta-Llama-3-8B-Instruct | null | [
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"autotrain_compatible",
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
"#### Transformers pipeline",
"#### Transformers AutoModelForCausalLM",
"### Use with 'llama3'\n\n\n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["en"], "license": "mit", "library_name": "transformers"} | baconnier/banker | null | [
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"arxiv:1910.09700",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #mistral #text-generation #conversational #en #arxiv-1910.09700 #license-mit #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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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-sft-lora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-sft-lora", "results": []}]} | GavinXiao/mistral-sft-lora | null | [
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"license:apache-2.0",
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| mistral-sft-lora
================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0341
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 100\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | yasithheshan/Final_llama2-7B-lora_alpha_8 | null | [
"peft",
"region:us"
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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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 Small Yodas
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on... | {"language": ["sr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["espnet/yodas"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Yodas", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"},... | Sagicc/whisper-small-sr-yodas | null | [
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| Whisper Small Yodas
===================
This model is a fine-tuned version of openai/whisper-small on the Yodas dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1748
* Wer Ortho: 0.2143
* Wer: 0.1191
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### 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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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | Undi95/Meta-Llama-3-8B-Instruct-hf | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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text-to-audio | 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. -->
# musicgen-melody-punk-lora
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/music... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["text-to-audio", "ylacombe/tiny-punk", "generated_from_trainer"], "base_model": "facebook/musicgen-melody", "model-index": [{"name": "musicgen-melody-punk-lora", "results": []}]} | ylacombe/musicgen-melody-punk-lora | null | [
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"license:cc-by-nc-4.0",
"region:us"
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|
# musicgen-melody-punk-lora
This model is a fine-tuned version of facebook/musicgen-melody on the YLACOMBE/TINY-PUNK - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7288
- Clap: 0.2611
## Model description
More information needed
## Intended uses & limitations
More informat... | [
"# musicgen-melody-punk-lora\n\nThis model is a fine-tuned version of facebook/musicgen-melody on the YLACOMBE/TINY-PUNK - DEFAULT dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 4.7288\n- Clap: 0.2611",
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for Llama-3 8b here: https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing
Built with Meta Llama 3
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["unsloth", "transformers", "llama", "llama-3"]} | unsloth/llama-3-8b | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for Llama-3 8b here: URL
Built with Meta Llama 3
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL wi... | [] | [
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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. -->
# question-story
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the mctest dataset.
It achieve... | {"license": "apache-2.0", "tags": ["simplification", "generated_from_trainer"], "datasets": ["mctest"], "metrics": ["bleu"], "base_model": "t5-base", "model-index": [{"name": "question-story", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "m... | frluquba/question-story | null | [
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| question-story
==============
This model is a fine-tuned version of t5-base on the mctest dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7501
* Bleu: 0.0302
* Gen Len: 19.0
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | NousResearch/Meta-Llama-3-8B | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/gemma-2b-GGUF-smashed | null | [
"gguf",
"pruna-ai",
"region:us"
] | null | 2024-04-18T16:48:01+00:00 | [] | [] | TAGS
#gguf #pruna-ai #region-us
|
[](URL target=)

- Original model: [Mixtral-3x7B-Instruct-v0.1](https://huggingface.co/fxmeng/Mixtral-3x7B-Instruct-v0.1)
## Model Summary
Author does not provide details
| {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Mixtral-3x7B-Instruct-v0.1-AWQ | null | [
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#transformers #safetensors #mixtral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #license-apache-2.0 #text-generation-inference #region-us
| # fxmeng/Mixtral-3x7B-Instruct-v0.1 AWQ
- Model creator: fxmeng
- Original model: Mixtral-3x7B-Instruct-v0.1
## Model Summary
Author does not provide details
| [
"# fxmeng/Mixtral-3x7B-Instruct-v0.1 AWQ\n\n- Model creator: fxmeng\n- Original model: Mixtral-3x7B-Instruct-v0.1",
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"# fxmeng/Mixtral-3x7B-Instruct-v0.1 AWQ\n\n- Model creator: fxmeng\n- Original model: Mixtral-3x7B-Instruct-v0.1",
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text-generation | transformers |
## Model Details
Re-uploaded because the original is gated.
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and ou... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | v2ray/Llama-3-70B | null | [
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| Model Details
-------------
Re-uploaded because the original is gated.
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use ... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nFor Hugging Face support, we recommend using transformers or TGI, but a similar command works.\n\n\nHardware and Software\n---------------------\... | [
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null | null |
# NotAiLOL/Boundary-mistral-4x7b-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from [`NotAiLOL/Boundary-mistral-4x7b-MoE`](https://huggingface.co/NotAiLOL/Boundary-mistral-4x7b-MoE) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [orig... | {"license": "apache-2.0", "tags": ["moe", "merge", "mergekit", "HuggingFaceH4/zephyr-7b-beta", "mistralai/Mistral-7B-Instruct-v0.2", "teknium/OpenHermes-2.5-Mistral-7B", "meta-math/MetaMath-Mistral-7B", "Mistral", "llama-cpp", "gguf-my-repo"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "mistralai/Mistral-7B-Instruc... | NotAiLOL/Boundary-mistral-4x7b-MoE-Q4_K_M-GGUF | null | [
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"base_model:HuggingFaceH4/zephyr-7b-beta",
"base_model:mistralai/Mistral-7B-... | null | 2024-04-18T16:51:39+00:00 | [] | [] | TAGS
#gguf #moe #merge #mergekit #HuggingFaceH4/zephyr-7b-beta #mistralai/Mistral-7B-Instruct-v0.2 #teknium/OpenHermes-2.5-Mistral-7B #meta-math/MetaMath-Mistral-7B #Mistral #llama-cpp #gguf-my-repo #base_model-HuggingFaceH4/zephyr-7b-beta #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-teknium/OpenHermes-2.... |
# NotAiLOL/Boundary-mistral-4x7b-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from 'NotAiLOL/Boundary-mistral-4x7b-MoE' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | yasithheshan/Final_llama2-7B-lora_alpha_32 | null | [
"peft",
"region:us"
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
Directly quantized 4bit model with `bitsandbytes`.
We have a Google Colab Tesla T4 notebook for Llama-3 8b here: https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing
[<img src="https://raw.githubuserconte... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "llama", "llama-3"]} | unsloth/llama-3-8b-Instruct-bnb-4bit | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
Directly quantized 4bit model with 'bitsandbytes'.
We have a Google Colab Tesla T4 notebook for Llama-3 8b here: URL
<img src="URL width="200"/>
<img src="URL w... | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #unsloth #llama-3 #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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] |
text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
Directly quantized 4bit model with `bitsandbytes`.
We have a Google Colab Tesla T4 notebook for Llama-3 8b here: https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing
[<img src="https://raw.githubuserconte... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "llama", "llama-3"]} | unsloth/llama-3-8b-Instruct | null | [
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#transformers #safetensors #llama #text-generation #unsloth #llama-3 #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
Directly quantized 4bit model with 'bitsandbytes'.
We have a Google Colab Tesla T4 notebook for Llama-3 8b here: URL
<img src="URL width="200"/>
<img src="URL w... | [] | [
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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 small - Denis Musinguzi
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whis... | {"language": ["sw"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_14_0"], "metrics": ["wer"], "base_model": "openai/whisper-large", "model-index": [{"name": "Whisper small - Denis Musinguzi", "results": [{"task": {"type": "automatic-sp... | dmusingu/WHISPER-SMALL-LUGANDA-ASR-CV-14 | null | [
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"base_model:openai/whisper-large",
"license:apache-2.0",
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| Whisper small - Denis Musinguzi
===============================
This model is a fine-tuned version of openai/whisper-large on the Common Voice 14.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3365
* Wer: 0.2992
* Cer: 0.0886
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.00001_ablation_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/Hugging... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.00001_ablation_iter_1", "results": []}]} | ShenaoZ/0.00001_ablation_iter_1 | null | [
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"license:mit",
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"endpoints_co... | null | 2024-04-18T16:55:16+00:00 | [] | [] | TAGS
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|
# 0.00001_ablation_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | mlx |
# xianghe-ai/llama3-quantized4mlx
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for more details on the model.
## Use with mlx
```bash
pip install mlx-... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | xianghe-ai/llama3-quantized4mlx | null | [
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"facebook",
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"llama-3",
"text-generation",
"conversational",
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"license:other",
"region:us"
] | null | 2024-04-18T16:55:25+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# xianghe-ai/llama3-quantized4mlx
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# xianghe-ai/llama3-quantized4mlx\nThis model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.9.0.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | NousResearch/Meta-Llama-3-8B-Instruct | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
"#### Transformers pipeline",
"#### Transformers AutoModelForCausalLM",
"### Use with 'llama3'\n\n\n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | an1k3sh/mistral-code-summary-finetuned-python | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | PawanKrd/Meta-Llama-3-8B | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | Undi95/Meta-Llama-3-70B-hf | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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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": []} | OwOOwO/dumbo-krillin57 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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null | peft |
# Model Card for Model ID
phi-2-mongodb is a fine-tuned version of microsoft/phi-2 to generate MongoDB pipeline queries. It was fine-tuned on a custom curated natural language to MongoDB queries dataset, I'll be releasing that next week.
## Model Details
Further details about fine-tuned model can be found at : https... | {"library_name": "peft", "base_model": "microsoft/phi-2"} | Chirayu/phi-2-mongodb | null | [
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|
# Model Card for Model ID
phi-2-mongodb is a fine-tuned version of microsoft/phi-2 to generate MongoDB pipeline queries. It was fine-tuned on a custom curated natural language to MongoDB queries dataset, I'll be releasing that next week.
## 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": ["unsloth"]} | Pot-l/mistral-7b-bnb-4bit-full-QA | 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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feature-extraction | transformers |
# ToxicBERT
This model was trained to do a binary classification of online comments to determine
whether they are toxic (toxic ≈ likely to make someone leave a discussion or give up on sharing
their opinion).
This model is based don GBERT from deepset (https://huggingface.co/deepset/gbert-base) which was mainly trai... | {"language": "de", "license": "mit", "tags": ["toxbert"], "metrics": [{"type": "accuracy", "value": 0.78}], "base_model": "deepset/gbert-base"} | mono80/ToxicBERT | null | [
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| ToxicBERT
=========
This model was trained to do a binary classification of online comments to determine
whether they are toxic (toxic ≈ likely to make someone leave a discussion or give up on sharing
their opinion).
This model is based don GBERT from deepset (URL which was mainly trained on wikipedia.
To this mode... | [
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text-generation | transformers | # LakoMoor/Silicon-Alice-7B AWQ
- Model creator: [LakoMoor](https://huggingface.co/LakoMoor)
- Original model: [Silicon-Alice-7B](https://huggingface.co/LakoMoor/Silicon-Alice-7B)

## Model Summary
Silicon-Alice-7B is... | {"language": ["en", "ru"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "not-for-all-audiences", "nsfw"], "model_name": "Silicon-Alice-7B", "model_creator": "LakoMoor", "model_type": "mistral", "base_model": ["Lako... | solidrust/Silicon-Alice-7B-AWQ | null | [
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| # LakoMoor/Silicon-Alice-7B AWQ
- Model creator: LakoMoor
- Original model: Silicon-Alice-7B
!Silicon-Alice-7B
## Model Summary
Silicon-Alice-7B is a model based on Silicon-Masha-7B aiming to be both strong in RP, be smart and understand Russian, that can follow character maps very well. This model understands Rus... | [
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null | null |
# Tokenizer for causal language modeling of DNA sequences
```json
"vocab": {
"[PAD]": 0,
"[UNK]": 1,
"a": 2,
"c": 3,
"g": 4,
"t": 5,
},
``` | {"license": "mit", "tags": ["biology", "genomics", "dna"]} | songlab/tokenizer-dna-clm | null | [
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#biology #genomics #dna #license-mit #region-us
|
# Tokenizer for causal language modeling of DNA sequences
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-llama3-no-robots | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-arabert_ArLAMA
This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "bert-base-arabert_ArLAMA", "results": []}]} | AfnanTS/bert-base-arabert_ArLAMA | null | [
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|
# bert-base-arabert_ArLAMA
This model is a fine-tuned version of aubmindlab/bert-base-arabert 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 ... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | PawanKrd/Meta-Llama-3-8B-Instruct | null | [
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| Model Details
-------------
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | gradientai/Meta-Llama-3-8B-bf16 | null | [
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| Model Details
-------------
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | gradientai/Meta-Llama-3-8B-Instruct-bf16 | null | [
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| Model Details
-------------
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text-generation | mlx |
# mlx-community/Meta-Llama-Guard-2-8B-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-Guard-2-8B`]() using mlx-lm version **0.9.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B) ... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-Guard-2-8B-4bit | null | [
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# mlx-community/Meta-Llama-Guard-2-8B-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-Guard-2-8B']() using mlx-lm version 0.9.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
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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": []} | Utshav/command-4-v01-Finetuned-merged | 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 | null |
# Meta-Llama-3-8B-Instruct-GGUF
- This is GGUF quantized version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) created using llama.cpp
- **Re-uploaded with new end token**
## Model Details
Meta developed and released the Meta Llama 3 family of large language mo... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | QuantFactory/Meta-Llama-3-8B-Instruct-GGUF | null | [
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| Meta-Llama-3-8B-Instruct-GGUF
=============================
* This is GGUF quantized version of meta-llama/Meta-Llama-3-8B-Instruct created using URL
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Model Details
-------------
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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 Small Sr Yodas
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small)... | {"language": ["sr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["espnet/yodas", "google/fleurs", "Sagicc/audio-lmb-ds", "mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Sr Yodas", "results": [{"task"... | Sagicc/whisper-small-sr-yodas-v2 | null | [
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======================
This model is a fine-tuned version of openai/whisper-small on merged datasets Common Voice 16 + Fleurs + Juzne vesti (South news) + LBM + (Yodas)[URL dataset and
Rupnik, Peter and Ljubešić, Nikola, 2022,
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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": []} | bdsaglam/llama-2-7b-chat-jerx-peft-b9tayppt | null | [
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text-generation | transformers |
4 layers
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_MiniTron_Chat
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.c... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_MiniTron_Chat"} | LeroyDyer/Mixtral_AI_MiniTron_1b | null | [
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4 layers
# Uploaded model
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<img src="URL width="200"/>
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null | null |
# M7T3q-7B
M7T3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO)
## 🧩 Confi... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "chihoonlee10/T3Q-Mistral-Orca-Math-DPO"]} | automerger/M7T3q-7B | null | [
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|
# M7T3q-7B
M7T3q-7B is an automated merge created by Maxime Labonne using the following configuration.
* liminerity/M7-7b
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## Configuration
## Usage
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text-generation | transformers |
## Model Details
Re-uploaded because the original is gated.
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and ou... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | v2ray/Llama-3-70B-Instruct | null | [
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| Model Details
-------------
Re-uploaded because the original is gated.
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use ... | [
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text-generation | transformers | # Undi95/Meta-Llama-3-8B-hf AWQ
- Original model: [Meta-Llama-3-8B-instruct-hf](https://huggingface.co/Undi95/Meta-Llama-3-8B-Instruct-hf)
## Model Summary
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8... | {"license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "facebook", "meta", "pytorch", "llama", "llama-3"], "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation", "inference": false, "quantized_by":... | solidrust/Meta-Llama-3-8B-Instruct-hf-AWQ | null | [
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| # Undi95/Meta-Llama-3-8B-hf AWQ
- Original model: Meta-Llama-3-8B-instruct-hf
## Model Summary
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null | null | Full precision GGUF of base LLama 3 8b model for Tesla P40 enjoyers or those who want to run unquantized llama.cpp instead of Transformers. | {} | sergkisel3v/LLama3-8b-GGUF-fp16 | null | [
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text-generation | null |
## Exllama v2 Quantizations of Meta-Llama-3-8B-Instruct
# You may need to turn on "decode_special_tokens=True" or "Skip special tokens=False" depending on what tool you're using to make the output work
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for q... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-8B-Instruct-special-tokens-exl2 | null | [
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| Exllama v2 Quantizations of Meta-Llama-3-8B-Instruct
----------------------------------------------------
You may need to turn on "decode\_special\_tokens=True" or "Skip special tokens=False" depending on what tool you're using to make the output work
==================================================================... | [] | [
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"TAGS\n#facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n"
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text-generation | transformers | To reproduce this run:
```bash
accelerate launch --multi_gpu --mixed_precision=fp16 --num_processes=8 run_distillation.py config_mistral.yaml
``` | {"library_name": "transformers", "datasets": ["HuggingFaceTB/cosmopedia"]} | sanchit-gandhi/distil-mistral-1.5B-v0.1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"dataset:HuggingFaceTB/cosmopedia",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T17:10:20+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #dataset-HuggingFaceTB/cosmopedia #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| To reproduce this run:
| [] | [
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text-generation | transformers | # Mermaid-10.7b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [TroyDoesAI/Mermaid-Solar](https://h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["TroyDoesAI/Mermaid-Solar", "TroyDoesAI/Mermaid_PythonCoder"]} | TroyDoesAI/Mermaid-Coder-MoE-Expert1 | null | [
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"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"base_model:TroyDoesAI/Mermaid-Solar",
"base_model:TroyDoesAI/Mermaid_PythonCoder",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T17:10:29+00:00 | [] | [] | TAGS
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| # Mermaid-10.7b
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* TroyDoesAI/Mermaid-Solar
* TroyDoesAI/Mermaid_PythonCoder
### Configurat... | [
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text-generation | transformers | # Undi95/Meta-Llama-3-8B-hf AWQ
- Original model: [Meta-Llama-3-8B-hf](Undi95/Meta-Llama-3-8B-hf)
## Model Summary
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction t... | {"license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "facebook", "meta", "pytorch", "llama", "llama-3"], "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation", "inference": false, "quantized_by":... | solidrust/Meta-Llama-3-8B-hf-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"license:other",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T17:11:14+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #facebook #meta #pytorch #llama-3 #conversational #license-other #text-generation-inference #region-us
| # Undi95/Meta-Llama-3-8B-hf AWQ
- Original model: Meta-Llama-3-8B-hf
## Model Summary
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for... | [
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null | null | https://civitai.com/models/406851/lynettegenshin-impact | {"license": "creativeml-openrail-m"} | LarryAIDraw/lynette | null | [
"license:creativeml-openrail-m",
"region:us"
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#license-creativeml-openrail-m #region-us
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null | null | https://civitai.com/models/405985/march-7th-honkai-star-rail | {"license": "creativeml-openrail-m"} | LarryAIDraw/March-10 | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-18T17:11:50+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| 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. -->
# mistral-inst_10000_200
This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit", "model-index": [{"name": "mistral-inst_10000_200", "results": []}]} | Angelectronic/mistral-inst_10000_200 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"unsloth",
"generated_from_trainer",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T17:12:01+00:00 | [] | [] | TAGS
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| mistral-inst\_10000\_200
========================
This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3962
Model description
-----------------
More information needed
Intended uses & limitations... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 4\n* seed: 3407\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null | https://civitai.com/models/406198/fenrys-or-lv2-kara-cheat | {"license": "creativeml-openrail-m"} | LarryAIDraw/Lv2karaCheat_Fenrys | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-18T17:12:14+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# minnimca/emotion-analysis-with-distilbert_minni
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "minnimca/emotion-analysis-with-distilbert_minni", "results": []}]} | minnimca/emotion-analysis-with-distilbert_minni | null | [
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"base_model:distilbert-base-uncased",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-18T17:12:29+00:00 | [] | [] | TAGS
#transformers #tf #distilbert #text-classification #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| minnimca/emotion-analysis-with-distilbert\_minni
================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.5957
* Validation Loss: 1.5831
* Train Accuracy: 0.352
* Epo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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null | null | https://civitai.com/models/405127 | {"license": "creativeml-openrail-m"} | LarryAIDraw/shenhe2-000005 | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-18T17:12:52+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
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null | null | https://civitai.com/models/404786/honkai-star-rail-robin-or | {"license": "creativeml-openrail-m"} | LarryAIDraw/robin-str-v1cl | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-18T17:13:13+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
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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. -->
# bloomz-1b1-rag-en-v1
This model is a fine-tuned version of [bigscience/bloomz-1b1](https://huggingface.co/bigscience/bloomz-1b1)... | {"license": "bigscience-bloom-rail-1.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigscience/bloomz-1b1", "model-index": [{"name": "bloomz-1b1-rag-en-v1", "results": []}]} | greenbureau/bloomz-1b1-rag-en-v1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:bigscience/bloomz-1b1",
"license:bigscience-bloom-rail-1.0",
"region:us"
] | null | 2024-04-18T17:13:23+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-bigscience/bloomz-1b1 #license-bigscience-bloom-rail-1.0 #region-us
|
# bloomz-1b1-rag-en-v1
This model is a fine-tuned version of bigscience/bloomz-1b1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
"# bloomz-1b1-rag-en-v1\n\nThis model is a fine-tuned version of bigscience/bloomz-1b1 on the None dataset.",
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null | null | Made with the v3 tokenizer.model | {} | Neko-Institute-of-Science/Mixtral-8x22B-Instruct-v0.1_IQ4_XS | null | [
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null | null | https://civitai.com/models/362837/sono-bisque-doll-wa-koi-wo-suru-marin-kitagawa | {"license": "creativeml-openrail-m"} | LarryAIDraw/Sono_Bisque_Doll_wa_Koi_wo_Suru_-_Marin_Kitagawa_V3 | null | [
"license:creativeml-openrail-m",
"region:us"
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text-generation | null |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "quantized", "4-bit", "5-bit", "GGUF"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version R... | abhinand/Meta-Llama-3-8B-GGUF | null | [
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"en"
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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null | null | https://civitai.com/models/403205/rin-tohsaka-or-fatestay-night | {"license": "creativeml-openrail-m"} | LarryAIDraw/tohsaka_scarxzys | null | [
"license:creativeml-openrail-m",
"region:us"
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#license-creativeml-openrail-m #region-us
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15
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null | null | https://civitai.com/models/402927/kirifuji-nagisa-or-blue-archive | {"license": "creativeml-openrail-m"} | LarryAIDraw/nagisa_scarxzys | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-18T17:15:17+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
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15
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null | null | https://civitai.com/models/384185/honkai-star-rail-siobhan-or | {"license": "creativeml-openrail-m"} | LarryAIDraw/siobhan-hsr_npc-v1a | null | [
"license:creativeml-openrail-m",
"region:us"
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#license-creativeml-openrail-m #region-us
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null | null | # Vigalpaca-French-7B-ties-GGUF
Vigalpaca-French-7B-ties is a merge of the following models:
jpacifico/French-Alpaca-7B-Instruct-beta
bofenghuang/vigostral-7b-chat
base model : jpacifico/French-Alpaca-7B-Instruct-beta
### Usage
This quantized q8_0 GGUF version can be used on a CPU device, compatible with ... | {"license": "apache-2.0", "tags": ["GGUF", "french-alpaca", "merge", "mergekit", "french"]} | jpacifico/Vigalpaca-French-7B-ties-GGUF | null | [
"gguf",
"GGUF",
"french-alpaca",
"merge",
"mergekit",
"french",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T17:17:19+00:00 | [] | [] | TAGS
#gguf #GGUF #french-alpaca #merge #mergekit #french #license-apache-2.0 #region-us
| # Vigalpaca-French-7B-ties-GGUF
Vigalpaca-French-7B-ties is a merge of the following models:
jpacifico/French-Alpaca-7B-Instruct-beta
bofenghuang/vigostral-7b-chat
base model : jpacifico/French-Alpaca-7B-Instruct-beta
### Usage
This quantized q8_0 GGUF version can be used on a CPU device, compatible with ... | [
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text-to-image | diffusers | # DeepNegativeXL
<Gallery />
## Model description
### Put it in negative prompt box, everything to better!
This is the XL version of `DeepNegative`. If you are using the 1.5 model, please [click here](https://civitai.com/models/4629/deep-negative-v1x)
# DeepNegative XL
Finally, ... | {"license": "unknown", "tags": ["text-to-image", "stable-diffusion", "diffusers", "template:sd-lora", "negative embedding", "embedding", "SDXL"], "widget": [{"text": "vampire bride,film photography aesthetic,the delicate texture of lace veil gently obscuring her face,long blonde hair,looking at viewer,eye eye contact,s... | lenML/DeepNegativeXL | null | [
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"embedding",
"SDXL",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:unknown",
"region:us"
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#diffusers #text-to-image #stable-diffusion #template-sd-lora #negative embedding #embedding #SDXL #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-unknown #region-us
| # DeepNegativeXL
<Gallery />
## Model description
### Put it in negative prompt box, everything to better!
This is the XL version of `DeepNegative`. If you are using the 1.5 model, please click here
# DeepNegative XL
Finally, it's released! try it and review~
## What does it do?
DeepNegative is a n... | [
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text-generation | transformers | # Mermaid-10.7b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [TroyDoesAI/Mermaid-Solar](https://h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["TroyDoesAI/Mermaid-Solar", "TroyDoesAI/Mermaid_PythonCoder"]} | TroyDoesAI/Mermaid-Flow-MoE-Expert2 | null | [
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| # Mermaid-10.7b
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* TroyDoesAI/Mermaid-Solar
* TroyDoesAI/Mermaid_PythonCoder
### Configurat... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | thusinh1969/flant5xl-rerank-ep2-512-19APRIL | null | [
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text-generation | transformers |
## Model Details
This is a 4bit implementation of the Meta-Llama-3-8B model.
The rest of the **read me** is same as the original repo.
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-------------
This is a 4bit implementation of the Meta-Llama-3-8B model.
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | NousResearch/Meta-Llama-3-70B | null | [
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| Model Details
-------------
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text-generation | transformers |
# Llama-3-DARE-8B
Llama-3-DARE-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
## 🧩 Configuration
```yaml
models:
- ... | {"license": "other", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"]} | mlabonne/Llama-3-DARE-8B | null | [
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|
# Llama-3-DARE-8B
Llama-3-DARE-8B is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B-Instruct
## Configuration
## Usage
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert-large-v2-finetuned-abbDet-finetuned-ner-Custom
This model is a fine-tuned version of [surrey-nlp/albert-large-v2-finetune... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "surrey-nlp/albert-large-v2-finetuned-abbDet", "model-index": [{"name": "albert-large-v2-finetuned-abbDet-finetuned-ner-Custom", "results": []}]} | jaggernaut007/albert-large-v2-finetuned-abbDet-finetuned-ner-Custom | null | [
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|
# albert-large-v2-finetuned-abbDet-finetuned-ner-Custom
This model is a fine-tuned version of surrey-nlp/albert-large-v2-finetuned-abbDet on an unknown dataset.
It achieves the following results on the evaluation set:
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- Precision: 0.9768
- Recall: 0.9733
- F1: 0.9750
- Accuracy: 0.9731
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | casperhansen/llama-3-8b-fp16 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | dzungPaduahsgs/Mistral7Bcleaning_v3_adafactor_model_8bit_batch_8_lr_5e-5 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | PawanKrd/Meta-Llama-3-70B-Instruct | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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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. -->
# fineturning-with-pretraining
This model is a fine-tuned version of [Aviral2412/mini_model](https://huggingface.co/Aviral2412/min... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_1_0"], "metrics": ["wer"], "base_model": "Aviral2412/mini_model", "model-index": [{"name": "fineturning-with-pretraining", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_vo... | Aviral2412/fineturning-with-pretraining | null | [
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| fineturning-with-pretraining
============================
This model is a fine-tuned version of Aviral2412/mini\_model on the common\_voice\_1\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3739
* Wer: 1.0011
Model description
-----------------
More information needed
Intended ... | [
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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 Large GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/opena... | {"language": ["ga", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN", "ymoslem/BitesizeIrish-GA-EN", "ymoslem/SpokenWords-GA-EN-MTed"], "metrics": ["bleu", "wer", "chrf"], "base_model": "openai/whisper-large", "model-index": [{"name": "Wh... | ymoslem/whisper-large-ga2en-v2.1 | null | [
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======================================
This model is a fine-tuned version of openai/whisper-large on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1318
* Bleu: 31.26
* Chrf: 50.... | [
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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_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mi... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | Nkr3ch17/mistral_instruct_generation | null | [
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| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3233
Model description
-----------------
More information needed
Intended uses & lim... | [
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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": []} | OwOOwO/dumbo-krillin60 | 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 Details
This is a 4bit implementation of the meta-llama/Meta-Llama-3-8B-Instruct model.
The rest of the **read me** is same as the original repo.
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in ... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | ibibek/Meta-Llama-3-8B-Instruct-4bit | null | [
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| Model Details
-------------
This is a 4bit implementation of the meta-llama/Meta-Llama-3-8B-Instruct model.
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | casperhansen/llama-3-70b-fp16 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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text-generation | transformers | # ArabianGPT Model Overview
## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation
<p style="color: red;">We disclaim all responsibility for any harm, inaccuracies, or inappropriate content generated by ArabianGPT-0.3B, and users engage with and apply the model's outputs at their own risk.</p>
... | {"language": ["ar"], "license": "apache-2.0", "tags": ["arabic ", "text-generation"], "pipeline_tag": "text-generation", "widget": [{"text": "\u0623\u0639\u0644\u0646\u062a \u0648\u0632\u0627\u0631\u0629 \u0627\u0644\u062d\u062c \u0641\u064a \u0627\u0644\u0645\u0645\u0644\u0643\u0629 \u0627\u0644\u0639\u0631\u0628\u064... | MSadeck/ArabianGPT-03B | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"arabic ",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T17:40:25+00:00 | [] | [
"ar"
] | TAGS
#transformers #pytorch #gpt2 #text-generation #arabic #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # ArabianGPT Model Overview
## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation
<p style="color: red;">We disclaim all responsibility for any harm, inaccuracies, or inappropriate content generated by ArabianGPT-0.3B, and users engage with and apply the model's outputs at their own risk.</p>
... | [
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"TAGS\n#transformers #pytorch #gpt2 #text-generation #arabic #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# ArabianGPT Model Overview",
"## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation\n\n<p style=\"color: red;\">W... | [
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"TAGS\n#transformers #pytorch #gpt2 #text-generation #arabic #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# ArabianGPT Model Overview## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation\n\n<p style=\"color: red;\">We disclaim a... |
text-generation | null |
## This model may get strange behaviour due to several of its tokens being labelled as "special", and so most tools will not properly detect them. This is most noticeable with the stop token.
A new upload is on the way and will be replacing this one.
End token set to not-special uploaded here: https://huggingface.co... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-8B-Instruct-GGUF-special-tokens | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T17:41:09+00:00 | [] | [
"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| This model may get strange behaviour due to several of its tokens being labelled as "special", and so most tools will not properly detect them. This is most noticeable with the stop token.
-----------------------------------------------------------------------------------------------------------------------------------... | [] | [
"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n"
] | [
36
] | [
"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n"
] |
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