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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. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | elixirofdeath/shawgpt-ft | null | [
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"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T16:23:50+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4459
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-to-image | diffusers |
# Pokemon Trainer Sprite PixelArt
<Gallery />
([CivitAI](https://civitai.com/models/159333))
## Model description
<h1 id="heading-524">Pokémon Trainer Sprite Generator</h1><p>LIKE THIS MODEL? GIVE A ❤️</p><p>Trained on Pokémon sprites of 96x96 and BLIP image captions.</p><h2 id="heading-525">Quick Tips</h2><ul>... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "pixel art", "sprites", "pixel", "style", "pokemon", "game cg", "video game art"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredi... | sWizad/pokemon-trainer-sprite-pixelart | null | [
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|
# Pokemon Trainer Sprite PixelArt
<Gallery />
(CivitAI)
## Model description
<h1 id="heading-524">Pokémon Trainer Sprite Generator</h1><p>LIKE THIS MODEL? GIVE A ️</p><p>Trained on Pokémon sprites of 96x96 and BLIP image captions.</p><h2 id="heading-525">Quick Tips</h2><ul><li><p><strong>No Trigger Word Needed:... | [
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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 Vienamese
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small... | {"language": ["vi"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Vienamese", "results": [{"task": {"type": "automatic-speech-recogniti... | arun100/whisper-small-vi-2 | null | [
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| Whisper Small Vienamese
=======================
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common\_voice\_16\_0 vi dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6705
* Wer: 24.5680
Model description
-----------------
More information needed... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Tobistd/lora-13b | null | [
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|
# Model Card for Model ID
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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": ["trl", "dpo"]} | kai-oh/mistral-7b-dpo-v3-hf | null | [
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|
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Cartpole_New", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "... | pdx97/Cartpole_New | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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": []} | TungChill/vinallama-peft-7b-math-solver | null | [
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"1910.09700"
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# GUE_prom_prom_core_notata-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_4096_512_27M-L32_all | null | [
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"safetensors",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_4096\_512\_27M-L32\_all
===============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
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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. -->
# GUE_prom_prom_300_notata-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_4096_512_27M-L32_all | null | [
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| GUE\_prom\_prom\_300\_notata-seqsight\_4096\_512\_27M-L32\_all
==============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
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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. -->
# GUE_prom_prom_core_all-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_4096_512_27M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_4096\_512\_27M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
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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. -->
# GUE_prom_prom_core_tata-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_4096_512_27M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_4096\_512\_27M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation... | [
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null | null |
## Description
This repo contains GGUF files for the original model.
### Files
- [WizardLM-2-7B_Q2_K.gguf](WizardLM-2-7B_Q2_K.gguf) (2.72 GB) - smallest, significant quality loss - not recommended for most purposes
- [WizardLM-2-7B_Q3_K_S.gguf](WizardLM-2-7B_Q3_K_S.gguf) (3.16 GB) - very small, high quality loss
- ... | {"language": ["en"], "license": "apache-2.0", "tags": ["gguf", "mistral"], "base_model": "microsoft/WizardLM-2-7B", "inference": false, "model_type": "mistral"} | RikudouSage/WizardLM-2-7B-GGUF | null | [
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|
## Description
This repo contains GGUF files for the original model.
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- WizardLM-2-7B_Q3_K_S.gguf (3.16 GB) - very small, high quality loss
- WizardLM-2-7B_Q3_K_M.gguf (3.52 GB) - very small, high q... | [
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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. -->
# GUE_prom_prom_300_all-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_2... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_4096_512_27M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_4096\_512\_27M-L32\_all
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
... | [
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null | null |
# Desumor/WizardLM-2-7B-Q6_K-GGUF
This model was converted to GGUF format from [`microsoft/WizardLM-2-7B`](https://huggingface.co/microsoft/WizardLM-2-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Desumor/WizardLM-2-7B-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# Desumor/WizardLM-2-7B-Q6_K-GGUF
This model was converted to GGUF format from 'microsoft/WizardLM-2-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Y... | [
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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]
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null | transformers |
# Model Card for Model ID
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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⚠️ Warning: Preview Model ⚠️
This model is currently at 50% completion and serves as a preview. It has not yet been fully optimized for general conversational tasks.
We are releasing this preview to provide insights and solicit community feedback to improve the model. Stay tuned for our future release.
# OpenBudd... | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru", "fi"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mixtral"], "pipeline_tag": "text-generation", "inference": false} | OpenBuddy/openbuddy-mixtral-22bx8-preview0-65k | null | [
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️ Warning: Preview Model ️
This model is currently at 50% completion and serves as a preview. It has not yet been fully optimized for general conversational tasks.
We are releasing this preview to provide insights and solicit community feedback to improve the model. Stay tuned for our future release.
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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 whisper-large-v3 ar1 - Mohamed Shaaban
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingf... | {"language": ["ar"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "Whisper whisper-large-v3\t ar1 - Mohamed Shaaban", "results": [{"task": {"type":... | Mohamedshaaban2001/MSDC-whisper-large-v3-55 | null | [
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| Whisper whisper-large-v3 ar1 - Mohamed Shaaban
==============================================
This model is a fine-tuned version of openai/whisper-large-v3 on the Common standard ar Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1983
* Wer: 50.0
Model description
----------... | [
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null | transformers |
# Uploaded model
- **Developed by:** haripritam
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "gguf"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | haripritam/gemma-2b-it-4bit | null | [
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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. -->
# falcon7binstructApril15
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "tiiuae/falcon-7b-instruct", "model-index": [{"name": "falcon7binstructApril15", "results": []}]} | Ray011/falcon7binstructApril15 | null | [
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| falcon7binstructApril15
=======================
This model is a fine-tuned version of tiiuae/falcon-7b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4366
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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token-classification | transformers |
XLM-RoBERTa model for punctuation restoration.
This is based on [Oliver Guhr's work](https://huggingface.co/oliverguhr/fullstop-punctuation-multilang-large).
Original author: https://huggingface.co/kredor. | {"language": ["bg", "en", "de", "fr", "es", "it", "pl", "nl", "cs", "pt", "sl", "el", "sv", "hu", "ro", "sk", "da"]} | mukowaty/punctuate-16 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** eruzak
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | eruzak/unsloth_mistral_predict_prompt_RL_v5 | null | [
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# Uploaded model
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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": []} | Lugaborg/Kainazzo | null | [
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text-generation | transformers |
# DanTagGen - gamma
DanTagGen(Danbooru Tag Generator) is inspired from p1atdev's dart project.
But with different arch, dataset, format and different training strategy.
## Difference between versions
alpha: pretrain on 2M dataset, smaller batch size. Limited ability<br>
beta: pretrain on 5.3M dataset, larger batch si... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "art"], "datasets": ["KBlueLeaf/danbooru2023-sqlite"], "pipeline_tag": "text-generation", "widget": [{"text": "rating: safe\nartist: <|empty|>\ncharacters: <|empty|>\ncopyrights: <|empty|>\naspect ratio: 1.... | KBlueLeaf/DanTagGen-gamma | null | [
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feature-extraction | 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. -->
# finetuned_bge_ver12
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver12", "results": []}]} | comet24082002/finetuned_bge_ver12 | null | [
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# finetuned_bge_ver12
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
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More information needed
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More information needed
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More information needed
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text-generation | transformers | # Llama2 fine tuned in Intel Hardware using peft and Lora
**Description :** Meta's Llama 2 is a transformer-based model tailored for converting natural language instructions into Python code snippets. This model has been optimized for efficient deployment on resource-constrained hardware through techniques such as LOR... | {"license": "llama2"} | Smd-Arshad/Llama-python-finetuned | null | [
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text-generation | transformers | # [MaziyarPanahi/WizardLM-2-7B-GGUF](https://huggingface.co/MaziyarPanahi/WizardLM-2-7B-GGUF)
- Model creator: [microsoft](https://huggingface.co/microsoft)
- Original model: [microsoft/WizardLM-2-7B](https://huggingface.co/microsoft/WizardLM-2-7B)
## Description
[MaziyarPanahi/WizardLM-2-7B-GGUF](https://huggingface.... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "arxiv:2304.12244", "arxiv:2306.08568", "arxiv:2308.09583", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us", "t... | MaziyarPanahi/WizardLM-2-7B-GGUF | null | [
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| # MaziyarPanahi/WizardLM-2-7B-GGUF
- Model creator: microsoft
- Original model: microsoft/WizardLM-2-7B
## Description
MaziyarPanahi/WizardLM-2-7B-GGUF contains GGUF format model files for microsoft/WizardLM-2-7B.
## Prompt template
or
Taken from the original README
---
---
license: apache-2.0
---
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | b-r-a-n/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T16:51:47+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
null | null |
<p style="font-size:20px;" align="center">
GGUF / IQ / Imatrix for microsoft/WizardLM-2-7B
</p>
<p style="font-size:20px;" align="center">
Original Description Below:
</p>
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p a... | {"license": "apache-2.0", "tags": ["GGUF", "Imatrix", "Quantized"]} | ABX-AI/WizardLM-2-7B-GGUF-IQ-Imatrix | null | [
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|
<p style="font-size:20px;" align="center">
GGUF / IQ / Imatrix for microsoft/WizardLM-2-7B
</p>
<p style="font-size:20px;" align="center">
Original Description Below:
</p>
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
<a href="URL target=... | [
"## News [2024/04/15]\n\nWe introduce and opensource WizardLM-2, our next generation state-of-the-art large language models, \nwhich have improved performance on complex chat, multilingual, reasoning and agent. \nNew family includes three cutting-edge models: WizardLM-2 8x22B, WizardLM-2 70B, and WizardLM-2 7B.\n\... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | rishalder/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3273
- Accuracy: 0.8733
- F1: 0.8758
## Model description
More information needed
## Intended uses & limitations
More ... | [
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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": []} | Edgar404/donut-shivi-recognition | null | [
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"endpoints_compatible",
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#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "qa_model", "results": []}]} | bytesizedllm/qa_model | null | [
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| qa\_model
=========
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3069
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - yehiaa/lora-trained-xl-ricky
<Gallery />
## Model description
These are yehiaa/lora-trained-xl... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a portrait of a sks pers... | yehiaa/lora-trained-xl-ricky | null | [
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"text-to-image",
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"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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#diffusers #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - yehiaa/lora-trained-xl-ricky
<Gallery />
## Model description
These are yehiaa/lora-trained-xl-ricky LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
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Special VAE used for train... | [
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text-generation | null |
## Exllama v2 Quantizations of WizardLM-2-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains ... | {"license": "apache-2.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/WizardLM-2-7B-exl2 | null | [
"text-generation",
"license:apache-2.0",
"region:us"
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#text-generation #license-apache-2.0 #region-us
| Exllama v2 Quantizations of WizardLM-2-7B
-----------------------------------------
Using <a href="URL ExLlamaV2 v0.0.18 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-v0.1-capybara-orpo-en-de
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mis... | {"tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["maxidl/distilabel-capybara-dpo-7k-binarized_en_de"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "Mistral-7B-v0.1-capybara-orpo-en-de", "results": []}]} | maxidl/Mistral-7B-v0.1-capybara-orpo-en-de | null | [
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"base_model:mistralai/Mistral-7B-v0.1",
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"endpoints_compatible",
"... | null | 2024-04-15T16:56:10+00:00 | [] | [] | TAGS
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|
# Mistral-7B-v0.1-capybara-orpo-en-de
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the maxidl/distilabel-capybara-dpo-7k-binarized_en_de dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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null | null |
SD1.5 experiments with Huber and MSE loss. All models trained for 4 epochs on approximately 250k images from a variety of sources. Approximately half from LAION Aesthetics, and a few thousand 4K video rips with COG-VLM captions.
Trained using Everydream2 Trainer (https://github.com/vi... | {"license": "creativeml-openrail-m"} | panopstor/huber-exp | null | [
"license:creativeml-openrail-m",
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#license-creativeml-openrail-m #region-us
|
SD1.5 experiments with Huber and MSE loss. All models trained for 4 epochs on approximately 250k images from a variety of sources. Approximately half from LAION Aesthetics, and a few thousand 4K video rips with COG-VLM captions.
Trained using Everydream2 Trainer (URL on an RTX 6000 Ad... | [] | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama2-ift-800k
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["Lichang-Chen/800k_ift"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-ift-800k", "results": []}]} | Lichang-Chen/llama2-ift-800k | null | [
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| llama2-ift-800k
===============
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the Lichang-Chen/800k\_ift dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6256
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Cartpole_V1_Updated", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"t... | pdx97/Cartpole_V1_Updated | null | [
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|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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": []} | 0x0son0/sl105 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # General Informations
The model was quantized to ggufs using Imatrix to:
q2_k, q3_k_l, q3_k_s, q4_0, q4_1, q4_k_m, q4_k_s, q5_k_m, q6_k, q8_0
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base_model: mistralai/Mistral-7B-v0.1
tags:
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text-generation | transformers | ### exl2 quant (measurement.json included)
---
### original readme below
---
---
license: apache-2.0
---
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/mic... | {} | lucyknada/microsoft_WizardLM-2-7B-exl2-5bpw | null | [
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### original readme below
---
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license: apache-2.0
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<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
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text2text-generation | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _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_quan... | {"library_name": "peft", "base_model": "microsoft/phi-2", "pipeline_tag": "text2text-generation"} | GenAI-CoolCats/WLU-Phi2 | null | [
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#peft #safetensors #text2text-generation #base_model-microsoft/phi-2 #has_space #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
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- llm_int8_has_fp16_weight: False
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | PFraud/BERT_general_disease | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-7b-hf-platypus-lamini-vxxiii-chat
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/ge... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-7b", "model-index": [{"name": "gemma-7b-hf-platypus-lamini-vxxiii-chat", "results": []}]} | NassimB/gemma-7b-hf-platypus-lamini-vxxiii-chat | null | [
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# gemma-7b-hf-platypus-lamini-vxxiii-chat
This model is a fine-tuned version of google/gemma-7b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers | Test model.
Under testing...
Recipe:
```yaml
base_model: /content/InfinityRP
gate_mode: random
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
## (optional)
experts_per_token: 2
experts:
- source_model: /content/WestLake
positive_prompts: []
- source_model: /content/Kuno
positive_prompts: [... | {"language": ["en"], "license": "apache-2.0", "tags": ["safetensors", "mixtral"]} | R136a1/BeyondInfinity-4x7B | null | [
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| Test model.
Under testing...
Recipe:
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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": []} | duongtruongbinh/vinallama-peft-2.7b-chat | null | [
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"endpoints_compatible",
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|
# Model Card for Model ID
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null | null | Defetya/qwen-4B-saiga в формате gguf | {"language": ["ru"]} | Sashkanik13/qwen-4b-saiga-gguf | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** liminerity
- **License:** apache-2.0
- **Finetuned from model :** liminerity/bitnet-mistal-m7-70m-slerp
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "liminerity/bitnet-mistal-m7-70m-slerp"} | liminerity/bitmap-mistral-M7-slerp-alpaca-70m | null | [
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null | transformers |
# Uploaded model
- **Developed by:** liminerity
- **License:** apache-2.0
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "liminerity/Bitnet-M7-resized"} | liminerity/tsn-270m | null | [
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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": []} | guoyu-zhang/hh_shp1_dpo1 | null | [
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reinforcement-learning | cleanrl |
# (CleanRL) **DQN** Agent Playing **QbertNoFrameskip-v4**
This is a trained model of a DQN agent playing QbertNoFrameskip-v4.
The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl) and the most up-to-date training code can be
found [here](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/dq... | {"library_name": "cleanrl", "tags": ["QbertNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "QbertNoFrameskip-v4", "type": "Qb... | qgallouedec/QbertNoFrameskip-v4-dqn_atari-seed1 | null | [
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|
# (CleanRL) DQN Agent Playing QbertNoFrameskip-v4
This is a trained model of a DQN agent playing QbertNoFrameskip-v4.
The model was trained by using CleanRL and the most up-to-date training code can be
found here.
## Get Started
To use this model, please install the 'cleanrl' package with the following command:
... | [
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null | transformers |
# Uploaded model
- **Developed by:** eruzak
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | eruzak/unsloth_mistral_predict_prompt_RL_v6 | null | [
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|
# Uploaded model
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="b-r-a-n/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | b-r-a-n/q-FrozenLake-v1-4x4-noSlippery | null | [
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|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | 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": []} | guoyu-zhang/hh_shp1_dpo5 | null | [
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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. -->
# GUE_mouse_0-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_0-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_4096_512_27M-L32_all | null | [
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| GUE\_mouse\_0-seqsight\_4096\_512\_27M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7670
* F1 Score: 0.5925
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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. -->
# GUE_mouse_1-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_1-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_4096_512_27M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_mouse\_1-seqsight\_4096\_512\_27M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5154
* F1 Score: 0.8110
... | [
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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. -->
# GUE_mouse_4-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_4-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_4096_512_27M-L32_all | null | [
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| GUE\_mouse\_4-seqsight\_4096\_512\_27M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5524
* F1 Score: 0.5831
... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnext-large-384-22k-1k-finetuned-eurosat
This model is a fine-tuned version of [facebook/convnext-large-384-22k-1k](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "facebook/convnext-large-384-22k-1k", "model-index": [{"name": "convnext-large-384-22k-1k-finetuned-eurosat", "results": []}]} | t1msan/convnext-large-384-22k-1k-finetuned-eurosat | null | [
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| convnext-large-384-22k-1k-finetuned-eurosat
===========================================
This model is a fine-tuned version of facebook/convnext-large-384-22k-1k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0012
Model description
-----------------
More informatio... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DreadPoor/SpicedFettuccine-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "cgato/Thespis-Mistral-7b-v0.7", "Epiculous/Fett-uccine-7B"], "base_model": "DreadPoor/SpicedFettuccine-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/SpicedFettuccine-7B-slerp-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | transformers |
# Uploaded model
- **Developed by:** liminerity
- **License:** apache-2.0
- **Finetuned from model :** liminerity/bitnet-mistal-m7-70m-slerp
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "liminerity/bitnet-mistal-m7-70m-slerp"} | liminerity/bitmap-mistral-M7-slerp-alpaca-70m-gguf | null | [
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|
# Uploaded model
- Developed by: liminerity
- License: apache-2.0
- Finetuned from model : liminerity/bitnet-mistal-m7-70m-slerp
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null | https://civitai.com/models/401630/ganyu | {"license": "creativeml-openrail-m"} | LarryAIDraw/ganyu | 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/401878/izayoi-nonomi-blue-archive-or-2-outfits | {"license": "creativeml-openrail-m"} | LarryAIDraw/nonomi-10 | null | [
"license:creativeml-openrail-m",
"region:us"
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="b-r-a-n/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/... | b-r-a-n/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-15T17:22:26+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | null | https://civitai.com/models/399889/airi-sakura-classroom-of-the-elite-anime-artstyle | {"license": "creativeml-openrail-m"} | LarryAIDraw/airi_sakura-1 | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-15T17:22:50+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| URL | [] | [
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null | null | https://civitai.com/models/400657/akane-kurokawa | {"license": "creativeml-openrail-m"} | LarryAIDraw/Akane_Kurokawa | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-15T17:23:13+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Novin-AI/Rava-2x7B-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "library_name": "transformers", "base_model": "Novin-AI/Rava-2x7B-v0.1", "quantized_by": "mradermacher"} | mradermacher/Rava-2x7B-v0.1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Novin-AI/Rava-2x7B-v0.1",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T17:23:17+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Novin-AI/Rava-2x7B-v0.1 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-Novin-AI/Rava-2x7B-v0.1 #endpoints_compatible #region-us \n"
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - SarthakDargan/sato_LoRA_v2
<Gallery />
## Model description
These are SarthakDargan/sato_LoRA_... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of SATO", "widge... | SarthakDargan/sato_LoRA_v2 | null | [
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"tensorboard",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-15T17:23:32+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - SarthakDargan/sato_LoRA_v2
<Gallery />
## Model description
These are SarthakDargan/sato_LoRA_v2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
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image-classification | transformers |
Esto es un ejercicio del curso de IABD | {"language": ["es"], "license": "cc-by-nc-4.0", "tags": ["vision", "image-classification"], "datasets": ["omarques/autotrain-data-dogs-and-cats"]} | ismaeltorres00/Modelodetest | null | [
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"autotrain_compatible",
"endpoints_compatible",
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image-classification | transformers |
Hola Mundo | {"license": "cc-by-4.0", "tags": ["vision", "image-classification"], "datasets": ["omarques/autotrain-data-dogs-and-cats"]} | FernandoMacia/Modelo2 | null | [
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"dataset:omarques/autotrain-data-dogs-and-cats",
"license:cc-by-4.0",
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Hola Mundo | [] | [
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image-classification | transformers |
Repositorio original: omarques/autotrain-dogs-and-cats-1527055142 | {"license": "cc-by-nc-4.0", "tags": ["vision", "image-classification"], "datasets": ["omarques/autotrain-dogs-and-cats-1527055142"]} | danielgi97/ModeloATope | null | [
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"autotrain_compatible",
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] |
image-classification | transformers | tags:
- vision
- image-classification
datasets:
- omarques/autotrain-data-dogs-and-cats | {} | akxier/ElModeloMasMolonDelMundo | null | [
"transformers",
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#transformers #pytorch #vit #image-classification #autotrain_compatible #endpoints_compatible #region-us
| tags:
- vision
- image-classification
datasets:
- omarques/autotrain-data-dogs-and-cats | [] | [
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image-classification | transformers | Repositorio original: omarques/autotrain-dogs-and-cats-1527055142 | {"license": "cc-by-nc-4.0", "tags": ["vision", "image-classification"], "datasets": ["omarques/autotrain-dogs-and-cats-1527055142"]} | Alan7/PruebaModelo1 | null | [
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| Repositorio original: omarques/autotrain-dogs-and-cats-1527055142 | [] | [
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image-classification | transformers | datasets:
- omarques/autotrain-data-dogs-and-cats
| {"license": "cc-by-nc-nd-4.0", "tags": ["vision", "image-classification"]} | CarPeAs/first_model_iabd | null | [
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datasets:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc25 | 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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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": []} | gubartz/testea | null | [
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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": []} | Aspik101/mixxtral13 | null | [
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text-generation | null |
## Llamacpp Quantizations of WizardLM-2-7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2675">b2675</a> for quantization.
Original model: https://huggingface.co/microsoft/WizardLM-2-7B
All quants made using imatrix option... | {"license": "apache-2.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/WizardLM-2-7B-GGUF | null | [
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#gguf #text-generation #license-apache-2.0 #region-us
| Llamacpp Quantizations of WizardLM-2-7B
---------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a file (not the whole branch) from belo... | [] | [
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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. -->
# ruBert-base-sberquad-0.001-len_3-filtered
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.001-len_3-filtered", "results": []}]} | Shalazary/ruBert-base-sberquad-0.001-len_3-filtered | null | [
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|
# ruBert-base-sberquad-0.001-len_3-filtered
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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null | 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. -->
# GUE_mouse_3-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_3-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_4096_512_27M-L32_all | null | [
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| GUE\_mouse\_3-seqsight\_4096\_512\_27M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6506
* F1 Score: 0.6778
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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-krillin8 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** eruzak
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | eruzak/unsloth_mistral_predict_prompt_RL_v7 | null | [
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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": []} | arthurLi920/my_diffusion.text_inver_encoder | null | [
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text-generation | transformers | # SeaMax-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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mpasila/PIPPA-Named-7B](https://huggingface.co/mpasila/PIPPA-Named-7B)... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mpasila/PIPPA-Named-7B", "Locutusque/SlimHercules-4.0-Mistral-7B-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | mpasila/SeaMax-7B | null | [
"transformers",
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"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"autotrain_compa... | null | 2024-04-15T17:54:22+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mpasila/PIPPA-Named-7B as a base.
### Models Merged
The following models were included in the merge:
* Locutusque/SlimHercules-4.0-Mistral-7B-... | [
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text-generation | transformers |
# Mistral-7B-Instruct-v0.1 for Flax
This is a Flax port of the Mistral-7B-Instruct-v0.1 model. The model is NOT finetuned or altered in any way. It is a direct port of the PyTorch model to Flax using the existing `transformers` model class.
## Quickstart
```python
import jax.numpy as jnp
import torch
from transform... | {"license": "apache-2.0", "tags": ["finetuned"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | rdyro/Mistral-7B-Instruct-v0.1 | null | [
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"text-generation-inference",
"region:us"
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#transformers #jax #mistral #text-generation #finetuned #conversational #arxiv-2310.06825 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mistral-7B-Instruct-v0.1 for Flax
This is a Flax port of the Mistral-7B-Instruct-v0.1 model. The model is NOT finetuned or altered in any way. It is a direct port of the PyTorch model to Flax using the existing 'transformers' model class.
## Quickstart
We can compare the outputs to the original PyTorch version.... | [
"# Mistral-7B-Instruct-v0.1 for Flax\n\nThis is a Flax port of the Mistral-7B-Instruct-v0.1 model. The model is NOT finetuned or altered in any way. It is a direct port of the PyTorch model to Flax using the existing 'transformers' model class.",
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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. -->
# chemical-ner-bert-large-uncased-2
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "chemical-ner-bert-large-uncased-2", "results": []}]} | shubhamgantayat/chemical-ner-bert-large-uncased-2 | null | [
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| chemical-ner-bert-large-uncased-2
=================================
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1766
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3\n* mixed\\_precis... | [
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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": []} | guoyu-zhang/hh_shp1_dpo9 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | Qwen 0.5B chat by Alibaba, SFTuned on Saiga dataset. Finetuned with EasyDeL framework on v3-8 Google TPU, provided by TRC.
Модель Qwen 0.5B, дообученая на датасете Ильи Гусева. По моему краткому опыту общения с моделью, лучше чем Saiga-mistral. Не ошибается в падежах. Карточка модели будет дополнена после теста на Ru... | {"license": "apache-2.0", "tags": ["Russian"]} | Defetya/qwen-0.5B-saiga | null | [
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"region:us"
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#transformers #safetensors #qwen2 #text-generation #Russian #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Qwen 0.5B chat by Alibaba, SFTuned on Saiga dataset. Finetuned with EasyDeL framework on v3-8 Google TPU, provided by TRC.
Модель Qwen 0.5B, дообученая на датасете Ильи Гусева. По моему краткому опыту общения с моделью, лучше чем Saiga-mistral. Не ошибается в падежах. Карточка модели будет дополнена после теста на Ru... | [] | [
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] |
text-generation | transformers |
[GGUF Quants](https://huggingface.co/mradermacher/hyperdrive-7b-alpha-GGUF)
# Hyperdrive 7b - α
Sci-fi. A lot of it.
Trained at 16k with full text windows, followed by completion, followed by OR... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth", "book"]} | maldv/hyperdrive-7b-alpha | null | [
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|
!image/png
GGUF Quants
# Hyperdrive 7b - α
Sci-fi. A lot of it.
Trained at 16k with full text windows, followed by completion, followed by ORPO, followed by two more epochs of the full text, each rotated 1/4 in the window.
### How to Use
This is not a chat model, but intended for storymode or similar. No prom... | [
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null | mlx |
# mlx-community/WizardLM-2-8x22B-4bit
This model was converted to MLX format from [`prince-canuma/WizardLM-2-8x22B`]() 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/prince-canuma/WizardLM-2-8x22B) for more ... | {"license": "apache-2.0", "tags": ["mlx"]} | mlx-community/WizardLM-2-8x22B-4bit | null | [
"mlx",
"safetensors",
"mixtral",
"license:apache-2.0",
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#mlx #safetensors #mixtral #license-apache-2.0 #region-us
|
# mlx-community/WizardLM-2-8x22B-4bit
This model was converted to MLX format from ['prince-canuma/WizardLM-2-8x22B']() 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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null | mlx |
# mlx-community/WizardLM-2-7B-4bit
This model was converted to MLX format from [`microsoft/WizardLM-2-7B`]() using mlx-lm version **0.4.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/WizardLM-2-7B) for more details on the mo... | {"license": "apache-2.0", "tags": ["mlx"]} | mlx-community/WizardLM-2-7B-4bit | null | [
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|
# mlx-community/WizardLM-2-7B-4bit
This model was converted to MLX format from ['microsoft/WizardLM-2-7B']() using mlx-lm version 0.4.0.
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-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. -->
# ClasificadorMotivoMora10
This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bertin-project/bertin-roberta-base-spanish", "model-index": [{"name": "ClasificadorMotivoMora10", "results": []}]} | Arodrigo/ClasificadorMotivoMora10 | null | [
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| ClasificadorMotivoMora10
========================
This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4870
* Accuracy: 0.8184
Model description
-----------------
More information needed
Inten... | [
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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": []} | Pavan178/CSGO-q | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | AlEXRIN/first-agent | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T18:07:16+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
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"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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. -->
# GUE_mouse_2-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_2-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_4096_512_27M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-15T18:08:26+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_mouse\_2-seqsight\_4096\_512\_27M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7682
* F1 Score: 0.8016
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
text-generation | transformers | This outputs coherent words sometimes. It's the result of an attempt to merge Llama-2 and Yi-6B. Coherent words are a victory but it seems resistant to further fine tuning with QLORA and I'm not inclined to spend the GPU resources required for a full fine tune.
NO RELATION TO THE OTHER YI-9B. | {} | reallad/zombyi-9b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T18:10:36+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This outputs coherent words sometimes. It's the result of an attempt to merge Llama-2 and Yi-6B. Coherent words are a victory but it seems resistant to further fine tuning with QLORA and I'm not inclined to spend the GPU resources required for a full fine tune.
NO RELATION TO THE OTHER YI-9B. | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
34
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lattavia/gemma-7b-chat-finetune-final-v2 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T18:11:55+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
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"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
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