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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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model descrip... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | RyanJT/codeparrot-ds | null | [
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# codeparrot-ds
This model is a fine-tuned version of gpt2 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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text-generation | transformers |
# Model Card for Model ID
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<!-- 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. -->
# idefics-9b-instruct-lr-3e-4-city
This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggingface.c... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "HuggingFaceM4/idefics-9b-instruct", "model-index": [{"name": "idefics-9b-instruct-lr-3e-4-city", "results": []}]} | emendes3/idefics-9b-instruct-lr-3e-4-city | null | [
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This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset.
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## Model description
More information needed
## Intended uses & limitations
More information n... | [
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<!-- 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. -->
# V0422MADP3C
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP3C", "results": []}]} | Litzy619/V0422MADP3C | null | [
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| V0422MADP3C
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This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0422MADP4C
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP4C", "results": []}]} | Litzy619/V0422MADP4C | null | [
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| V0422MADP4C
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This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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-----------------
More information needed
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0422MADP2C
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP2C", "results": []}]} | Litzy619/V0422MADP2C | null | [
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| V0422MADP2C
===========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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* Loss: 0.0645
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0422MADP7C
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP7C", "results": []}]} | Litzy619/V0422MADP7C | null | [
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"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP7C
===========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0624
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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text-generation | mlx |
# spiharsh/Meta-Llama-3-8B-Instruct-MLX
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.10.0**.
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 insta... | {"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... | spiharsh/Meta-Llama-3-8B-Instruct-MLX | null | [
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|
# spiharsh/Meta-Llama-3-8B-Instruct-MLX
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# idefics-9b-instruct-lr-3e-4-neighborhood
This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggi... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "HuggingFaceM4/idefics-9b-instruct", "model-index": [{"name": "idefics-9b-instruct-lr-3e-4-neighborhood", "results": []}]} | emendes3/idefics-9b-instruct-lr-3e-4-neighborhood | null | [
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#peft #safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics-9b-instruct #license-other #region-us
|
# idefics-9b-instruct-lr-3e-4-neighborhood
This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.2713
## Model description
More information needed
## Intended uses & limitations
More infor... | [
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text-generation | transformers | # llama-3-dragon-bophades-8B
This model is based on Llama-3-8b, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE)
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 [Model ... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mlabonne/ChimeraLlama-3-8B", "abacusai/Llama-3-Smaug-8B", "vicgalle/Unsafe-Llama-3-8B", "nbeerbower/llama-3-aura-bophades-8B", "mlabonne/OrpoLlama-3-8B", "cloudyu/Meta-Llama-3-8B-Instruct-DPO"], "license_name": "llama3"} | nbeerbower/llama-3-dragon-bophades-8B | null | [
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This model is based on Llama-3-8b, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using nbeerbower/llama-3-aura-... | [
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text-generation | null |
# Boto 7B - GGUF
- Criador do Modelo: [Luciano Santa Brígida](https://lucianosb.com.br/)
- Modelo Original: [Boto-7B v1.1](https://huggingface.co/lucianosb/boto-7B-v1.1)
Boto-7B é um modelo de linguagem de 7 bilhões de parâmetros, otimizado a partir do Mistral-7B.
Confira os [presets](https://huggingface.co/lucianos... | {"language": ["pt"], "license": "apache-2.0", "model_name": "Boto 7B v1.1", "inference": false, "model_creator": "Luciano Santa Br\u00edgida", "model_link": "https://huggingface.co/lucianosb/boto-7B-v1.1", "model_type": "mistral", "quantized_by": "lucianosb", "pipeline_tag": "text-generation"} | lucianosb/boto-7B-v1.1-GGUF | null | [
"gguf",
"text-generation",
"pt",
"license:apache-2.0",
"region:us"
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"pt"
] | TAGS
#gguf #text-generation #pt #license-apache-2.0 #region-us
| Boto 7B - GGUF
==============
* Criador do Modelo: Luciano Santa Brígida
* Modelo Original: Boto-7B v1.1
Boto-7B é um modelo de linguagem de 7 bilhões de parâmetros, otimizado a partir do Mistral-7B.
Confira os presets para usar com LM Studio.
Arquivos Incluídos
------------------
Observação: os valores de R... | [] | [
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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": []} | fangzhaoz/mistralv1_spectral_r4_1e-4_e5_directmerge | 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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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="mezzy33/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": ... | mezzy33/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
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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 | 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. -->
# idefics-9b-instruct-lr-3e-4-exact_location_name
This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https:... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "HuggingFaceM4/idefics-9b-instruct", "model-index": [{"name": "idefics-9b-instruct-lr-3e-4-exact_location_name", "results": []}]} | emendes3/idefics-9b-instruct-lr-3e-4-exact_location_name | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics-9b-instruct",
"license:other",
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#peft #safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics-9b-instruct #license-other #region-us
|
# idefics-9b-instruct-lr-3e-4-exact_location_name
This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.2696
## Model description
More information needed
## Intended uses & limitations
Mor... | [
"# idefics-9b-instruct-lr-3e-4-exact_location_name\n\nThis model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: nan\n- Accuracy: 0.2696",
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null | 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. -->
# llava_clip_llama3_8b_pretrain_8192
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## ... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "llava_clip_llama3_8b_pretrain_8192", "results": []}]} | MFuyu/llava_clip_llama3_8b_pretrain_8192 | null | [
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|
# llava_clip_llama3_8b_pretrain_8192
This model is a fine-tuned version of [](URL 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 hyperparamet... | [
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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. -->
# results
This model is a fine-tuned version of [meta-llama/Llama-2-13b-chat-hf](https://huggingface.co/meta-llama/Llama-2-13b-cha... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-13b-chat-hf", "model-index": [{"name": "results", "results": []}]} | Destructo565/results | null | [
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# results
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## 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 | # Mixllama3-8x8b-Instruct-v0.1 based on LLaMA 3
An experimental MoE (Mixture of Experts) model based on the LLaMA-3-8B.
MixLLaMA3-8x8b combines 8 fine-tuned LLaMA 8B models, each specialized in a specific set of tasks.
By leveraging the strengths of each expert model, Mixllama3-8x8b aims to deliver enhanced performa... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["text Generation"]} | sherazkhan/Mixllama3-8x8b-Instruct-v0.1 | null | [
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#transformers #safetensors #mixtral #text-generation #text Generation #conversational #en #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Mixllama3-8x8b-Instruct-v0.1 based on LLaMA 3
An experimental MoE (Mixture of Experts) model based on the LLaMA-3-8B.
MixLLaMA3-8x8b combines 8 fine-tuned LLaMA 8B models, each specialized in a specific set of tasks.
By leveraging the strengths of each expert model, Mixllama3-8x8b aims to deliver enhanced performa... | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "out", "results": []}]} | taozi555/llama3-Mirage-Walker-8b-v0.2 | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out
===
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7773
Model description
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n*... | [
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null | 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. -->
# llava_siglip_llama3_8b_pretrain_8192
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
#... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "llava_siglip_llama3_8b_pretrain_8192", "results": []}]} | MFuyu/llava_siglip_llama3_8b_pretrain_8192 | null | [
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|
# llava_siglip_llama3_8b_pretrain_8192
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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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. -->
# BART-10K-summarization
This model was trained from scratch on an unknown dataset.
## Model description
More information needed... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BART-10K-summarization", "results": []}]} | yatharth97/BART-10K-summarization | null | [
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# BART-10K-summarization
This model was trained from scratch 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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The following hy... | [
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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": []} | joedicator/biomistral-train2 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# 0.0_ablation_sample3_4iters_bs256_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample3_4iters_bs256_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_sample3_4iters_bs256_dataset"], "base_model": "ZhangShenao/0.0_ablation_sample3_4iters_bs256_iter_1", "model-index": [{"name": "0.0_ablation_sample3_4iters_bs256_it... | ZhangShenao/0.0_ablation_sample3_4iters_bs256_iter_2 | null | [
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# 0.0_ablation_sample3_4iters_bs256_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample3_4iters_bs256_iter_1 on the ZhangShenao/0.0_ablation_sample3_4iters_bs256_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information 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. -->
# wav2vec_arabic_mdd_v2
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec_arabic_mdd_v2", "results": []}]} | nrshoudi/wav2vec_arabic_mdd_v2 | null | [
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| wav2vec\_arabic\_mdd\_v2
========================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2736
* Wer: 0.0492
* Cer: 0.0378
Model description
-----------------
More information needed
Intende... | [
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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. -->
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- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Epistemic_tiny_0.4_Seed103 | null | [
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null | peft |
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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": "llama3", "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\"Agreeme... | DavidLanz/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... | [
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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": []} | mohannadirshedat/iq_academy_gpt | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-imdb-rm
This model is a fine-tuned version of [lvwerra/gpt2-imdb](https://huggingface.co/lvwerra/gpt2-imdb) on an unknown d... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "lvwerra/gpt2-imdb", "model-index": [{"name": "gpt2-imdb-rm", "results": []}]} | mnoukhov/gpt2-imdb-rm | null | [
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| gpt2-imdb-rm
============
This model is a fine-tuned version of lvwerra/gpt2-imdb on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1624
* Accuracy: 0.9458
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_llama_6.1 | 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 |
<!-- 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. -->
# dpo-selective-redteaming
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFace... | {"license": "mit", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "dpo-selective-redteaming", "results": []}]} | wxzhang/dpo-selective-redteaming | null | [
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|
# dpo-selective-redteaming
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset.
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- Loss: 7156.6382
- Rewards/chosen: -0.0335
- Rewards/rejected: -0.0521
- Rewards/accuracies: 0.5824
- Rewards/margins: 0.0186
- Rewards/safe Re... | [
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image-feature-extraction | timm |
# Model card for gaunernst/convnext_atto.cosface_ms1mv3
ConvNeXt-Atto for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: https://github.com/gau-nernst/timm-face. It is fully compatible with `timm`.
## Usage
```python
import timm
import torch.nn.functional as F
model = timm.crea... | {"library_name": "timm", "tags": ["image-feature-extraction", "timm"], "datasets": ["gaunernst/ms1mv3-recordio"]} | gaunernst/convnext_atto.cosface_ms1mv3 | null | [
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#timm #safetensors #image-feature-extraction #dataset-gaunernst/ms1mv3-recordio #region-us
|
# Model card for gaunernst/convnext_atto.cosface_ms1mv3
ConvNeXt-Atto for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: URL It is fully compatible with 'timm'.
## Usage
| [
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] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Base Ukrainian
This model is a fine-tuned version of [arun100/whisper-base-uk-1](https://huggingface.co/arun100/whisper-... | {"license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["google/fleurs"], "metrics": ["wer"], "base_model": "arun100/whisper-base-uk-1", "model-index": [{"name": "Whisper Base Ukrainian", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognit... | arun100/whisper-base-uk-2 | null | [
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| Whisper Base Ukrainian
======================
This model is a fine-tuned version of arun100/whisper-base-uk-1 on the google/fleurs uk\_ua dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4710
* Wer: 33.5630
Model description
-----------------
More information needed
Intended uses & ... | [
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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": []} | Sayan01/CKA-T5-CoT-m-T1 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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- License... | [
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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. -->
# DreamBooth - DaichiT/scrap_metal_model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weigh... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of sks scrap metal"} | DaichiT/scrap_metal_model | null | [
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|
# DreamBooth - DaichiT/scrap_metal_model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks scrap metal using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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text-generation | transformers |
# SmartLlama-3-8B-MS-v0.1
SmartLlama-3-8B-MS-v0.1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## ... | {"license": "other", "tags": ["merge", "mergekit", "lazymergekit"]} | Kukedlc/SmartLlama-3-8B-MS-v0.1 | null | [
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|
# SmartLlama-3-8B-MS-v0.1
!image/png
SmartLlama-3-8B-MS-v0.1 is a merge of the following models using LazyMergekit:
## Configuration
## Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-imdb-rm-adapter
This model is a fine-tuned version of [lvwerra/gpt2-imdb](https://huggingface.co/lvwerra/gpt2-imdb) on an u... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "lvwerra/gpt2-imdb", "model-index": [{"name": "gpt2-imdb-rm-adapter", "results": []}]} | mnoukhov/gpt2-imdb-rm-adapter | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:lvwerra/gpt2-imdb",
"region:us"
] | null | 2024-04-23T01:48:40+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-lvwerra/gpt2-imdb #region-us
| gpt2-imdb-rm-adapter
====================
This model is a fine-tuned version of lvwerra/gpt2-imdb on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1817
* Accuracy: 0.9322
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text-to-image | diffusers |
# Muscle Slider - LoRA
<Gallery />
## Model description
<p><span style="color:rgb(193, 194, 197)">Simple LoRA to help with adjusting a subjects muscle mass. You can swing it both ways pretty far out from -3 to +5 without much distortion. Positive gives them more muscles. Negative gives them less muscles.</span... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "bodybuilder", "muscles", "tool", "ripped", "slider"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Im... | ostris/muscle-slider-lora | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"migrated",
"bodybuilder",
"muscles",
"tool",
"ripped",
"slider",
"base_model:runwayml/stable-diffusion-v1-5",
"license:other",
"region:us"
] | null | 2024-04-23T01:49:57+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #bodybuilder #muscles #tool #ripped #slider #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# Muscle Slider - LoRA
<Gallery />
## Model description
<p><span style="color:rgb(193, 194, 197)">Simple LoRA to help with adjusting a subjects muscle mass. You can swing it both ways pretty far out from -3 to +5 without much distortion. Positive gives them more muscles. Negative gives them less muscles.</span... | [
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"# Muscle Slider - LoRA \n\n<Gallery />",
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text-to-image | diffusers |
# Hair Length Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-8.0 to 8.0</strong> (or more)</p></li><li><p>positive: <strong>longer hair</strong></p></li><li><p>negative: <strong>shorter hair</strong></p></li></ul><p><br /><span style="color:rgb(193, 194, 197)">Simple LoRA to help wi... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "hair", "tool", "slider", "hair length"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDeri... | ostris/hair-length-slider-lora | null | [
"diffusers",
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"stable-diffusion",
"lora",
"template:sd-lora",
"migrated",
"hair",
"tool",
"slider",
"hair length",
"base_model:runwayml/stable-diffusion-v1-5",
"license:other",
"region:us"
] | null | 2024-04-23T01:50:03+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #hair #tool #slider #hair length #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# Hair Length Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-8.0 to 8.0</strong> (or more)</p></li><li><p>positive: <strong>longer hair</strong></p></li><li><p>negative: <strong>shorter hair</strong></p></li></ul><p><br /><span style="color:rgb(193, 194, 197)">Simple LoRA to help wi... | [
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"# Hair Length Slider - LoRA \n\n<Gallery />",
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text-to-image | diffusers |
# Curly Hair Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-8.0 to 8.0 </strong><em>( or more )</em></p></li><li><p>positive: <strong>curly hair</strong></p></li><li><p>negative: <strong>straight hair</strong></p></li></ul>
## Download model
Weights for this model are available ... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "hair", "tool", "curly hair", "straight hair", "slider"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse... | ostris/curly-hair-slider-lora | null | [
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"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"migrated",
"hair",
"tool",
"curly hair",
"straight hair",
"slider",
"base_model:runwayml/stable-diffusion-v1-5",
"license:other",
"region:us"
] | null | 2024-04-23T01:50:14+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #hair #tool #curly hair #straight hair #slider #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# Curly Hair Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-8.0 to 8.0 </strong><em>( or more )</em></p></li><li><p>positive: <strong>curly hair</strong></p></li><li><p>negative: <strong>straight hair</strong></p></li></ul>
## Download model
Weights for this model are available ... | [
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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. -->
# results
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended u... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "results", "results": []}]} | Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep | null | [
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#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #custom_code #autotrain_compatible #region-us
|
# results
This model was trained from scratch 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 hyperparameters
The following hyperparameters w... | [
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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. -->
# Pretraining_MFM_v1
This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-base", "model-index": [{"name": "Pretraining_MFM_v1", "results": []}]} | JJ-Tae/Pretraining_MFM_v1 | null | [
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"endpoints_compatible",
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|
# Pretraining_MFM_v1
This model is a fine-tuned version of microsoft/deberta-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
### Training hyperparamet... | [
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null | null | ## dolphin-llama3-8b-llamafile-nonAVX
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [dolphin-2.9-llama3-8b-q3_K_M.llamafile](https://huggingface.co/blueprintninja/dolphin-llama3-8b-llamafile-nonAVX/r... | {"tags": ["llamafile", "GGUF"], "base_model": "cognitivecomputations/dolphin-2.9-llama3-8b-gguf"} | blueprintninja/dolphin-llama3-8b-llamafile-nonAVX | null | [
"llamafile",
"GGUF",
"base_model:cognitivecomputations/dolphin-2.9-llama3-8b-gguf",
"region:us"
] | null | 2024-04-23T01:52:55+00:00 | [] | [] | TAGS
#llamafile #GGUF #base_model-cognitivecomputations/dolphin-2.9-llama3-8b-gguf #region-us
| ## dolphin-llama3-8b-llamafile-nonAVX
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- dolphin-2.9-llama3-8b-q3_K_M.llamafile
This repository was created using the llamafile-builder
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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": "Viet-Mistral/Vistral-7B-Chat"} | presencesw/Vistral-7B-UIT-CLAIM_3 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Viet-Mistral/Vistral-7B-Chat",
"region:us"
] | null | 2024-04-23T01:54:27+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-Viet-Mistral/Vistral-7B-Chat #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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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. -->
# token-classification-llmlingua2-xlm-roberta-bctn-124_sample-5_epoch_human_best_data_v1
This model is a fine-tuned version of [Fa... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "token-classification-llmlingua2-xlm-roberta-bctn-124_sample-5_epoch_human_best_data_v1", "results": []}]} | qminh369/token-classification-llmlingua2-xlm-roberta-bctn-124_sample-5_epoch_human_best_data_v1 | null | [
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] | null | 2024-04-23T01:55:05+00:00 | [] | [] | TAGS
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|
# token-classification-llmlingua2-xlm-roberta-bctn-124_sample-5_epoch_human_best_data_v1
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6165
- eval_runtime: 1.4499
- eval_samples_per_second: 17.242
- eva... | [
"# token-classification-llmlingua2-xlm-roberta-bctn-124_sample-5_epoch_human_best_data_v1\n\nThis model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 0.6165\n- eval_runtime: 1.4499\n- eval_samples_per_second: 17.2... | [
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text-to-image | diffusers |
# Zoom Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-7.0 to 7.0</strong> </p></li><li><p>positive: <strong>zoom in (face close up)</strong></p></li><li><p>negative: <strong>zoom out (full body)</strong></p></li></ul><p></p><p>This is <strong>NOT</strong> perfect. I have tried to ma... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "portrait", "tool", "zoom", "slider"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivat... | ostris/zoom-slider-lora | null | [
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"portrait",
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"license:other",
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] | null | 2024-04-23T01:55:09+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #portrait #tool #zoom #slider #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# Zoom Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-7.0 to 7.0</strong> </p></li><li><p>positive: <strong>zoom in (face close up)</strong></p></li><li><p>negative: <strong>zoom out (full body)</strong></p></li></ul><p></p><p>This is <strong>NOT</strong> perfect. I have tried to ma... | [
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"## Model description\n\n<ul><li><p>weight: <strong>-7.0 to 7.0</strong> </p></li><li><p>positive: <strong>zoom in (face close up)</strong></p></li><li><p>negative: <strong>zoom out (full body)</strong></p></li></ul><p></p><p>This is <strong>NOT</strong> perfect. I have tri... | [
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text-to-image | diffusers |
# People Count Slider - LoRA
<Gallery />
## Model description
<p>Weights can swing very far on this one <strong>-8.0 to +8.0. </strong>It can do extremely large crowds the higher you go and I wanted to be able to keep granular control.<br /><br />Positive = More people</p><p>Negative = Less people<br /><br /><... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "people", "tool", "slider", "number of people"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=Image&a... | ostris/people-count-slider-lora | null | [
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"people",
"tool",
"slider",
"number of people",
"base_model:runwayml/stable-diffusion-v1-5",
"license:other",
"region:us"
] | null | 2024-04-23T01:55:15+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #people #tool #slider #number of people #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# People Count Slider - LoRA
<Gallery />
## Model description
<p>Weights can swing very far on this one <strong>-8.0 to +8.0. </strong>It can do extremely large crowds the higher you go and I wanted to be able to keep granular control.<br /><br />Positive = More people</p><p>Negative = Less people<br /><br /><... | [
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text-to-image | diffusers |
# Emotion Sliders
<Gallery />
## Model description
<p>I am going to add various emotion sliders here so they will all be in one place. In general, the weights will be -5 to 5, but each one may be more or less. Check versions at the top. Each one will be labeled with the emotion it affects.</p>
## Download m... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "sad", "happy", "emotions", "tool", "slider"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allo... | ostris/emotion-sliders | null | [
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"base_model:runwayml/stable-diffusion-v1-5",
"license:other",
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] | null | 2024-04-23T01:55:20+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #sad #happy #emotions #tool #slider #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# Emotion Sliders
<Gallery />
## Model description
<p>I am going to add various emotion sliders here so they will all be in one place. In general, the weights will be -5 to 5, but each one may be more or less. Check versions at the top. Each one will be labeled with the emotion it affects.</p>
## Download m... | [
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"## ... | [
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text-to-image | diffusers |
# Depth of Field Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-8.0 to 8.0 </strong><em>( or way more or less )</em></p></li><li><p>positive: <strong>large DOF (sharp background)</strong></p></li><li><p>negative: <strong>narrow DOF (blurry background)</strong></p></li></ul><p></p><p... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "depth of field", "tool", "dof", "blurry background", "focus"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommerc... | ostris/depth-of-field-slider-lora | null | [
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"focus",
"base_model:runwayml/stable-diffusion-v1-5",
"license:other",
"region:us"
] | null | 2024-04-23T01:55:28+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #depth of field #tool #dof #blurry background #focus #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# Depth of Field Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-8.0 to 8.0 </strong><em>( or way more or less )</em></p></li><li><p>positive: <strong>large DOF (sharp background)</strong></p></li><li><p>negative: <strong>narrow DOF (blurry background)</strong></p></li></ul><p></p><p... | [
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text-to-image | diffusers |
# Nighttime LoRA
<Gallery />
## Model description
<p>This lora can turn any scene into a night scene, indoors and outdoors. Not just darker, but with flashlights, car lights, etc. Some scenes will need a stronger weight than others. So adjust as needed. </p><p>This is an experiment in a training process concep... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "dark", "concept", "lighting", "tools", "night", "scene", "nighttime", "darken"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit... | ostris/nighttime-lora | null | [
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"base_model:runwayml/stable-diffusion-v1-5",
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] | null | 2024-04-23T01:55:39+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #dark #concept #lighting #tools #night #scene #nighttime #darken #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# Nighttime LoRA
<Gallery />
## Model description
<p>This lora can turn any scene into a night scene, indoors and outdoors. Not just darker, but with flashlights, car lights, etc. Some scenes will need a stronger weight than others. So adjust as needed. </p><p>This is an experiment in a training process concep... | [
"# Nighttime LoRA \n\n<Gallery />",
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text-to-image | diffusers |
# Color Temperature Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-5.0 to 5.0</strong></p></li><li><p>positive: <strong><span style="color:rgb(250, 176, 5)">warmer colors</span> (orange)</strong></p></li><li><p>negative: <strong><span style="color:rgb(34, 139, 230)">cooler colors</s... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "warm", "cool", "tool", "color", "slider"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDe... | ostris/color-temperature-slider-lora | null | [
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"tool",
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"slider",
"base_model:runwayml/stable-diffusion-v1-5",
"license:other",
"region:us"
] | null | 2024-04-23T01:55:47+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #warm #cool #tool #color #slider #base_model-runwayml/stable-diffusion-v1-5 #license-other #region-us
|
# Color Temperature Slider - LoRA
<Gallery />
## Model description
<ul><li><p>weight: <strong>-5.0 to 5.0</strong></p></li><li><p>positive: <strong><span style="color:rgb(250, 176, 5)">warmer colors</span> (orange)</strong></p></li><li><p>negative: <strong><span style="color:rgb(34, 139, 230)">cooler colors</s... | [
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text-generation | transformers | ## Base Model:
We made a LLM model with meta-llama/Meta-Llama-3-8B
## Model Description
We use QDoRA(256, 64) and lr=1e-5, NEFTune=3
## Train Detail
Our changed private data used, and 5 epoch train
## Others
We are making LLM model for Kolon ! | {"language": ["ko", "en"], "license": "cc-by-nc-4.0"} | gwonny/Llama-3-8B-kolon-ITD-5-v1.0 | null | [
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"license:cc-by-nc-4.0",
"autotrain_compatible",
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"region:us"
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#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## Base Model:
We made a LLM model with meta-llama/Meta-Llama-3-8B
## Model Description
We use QDoRA(256, 64) and lr=1e-5, NEFTune=3
## Train Detail
Our changed private data used, and 5 epoch train
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We are making LLM model for Kolon ! | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | akkky02/DPO-llama3-8B | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-23T01:59:06+00:00 | [
"1910.09700"
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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 | This repo is a clone of [mattshumer/Llama-3-8B-16K](https://huggingface.co/mattshumer/Llama-3-8B-16K)
This is an extended (16K) context version of LLaMA 3. Trained for five hours on 8x A6000 GPUs, using the `Yukang/LongAlpaca-16k-length` dataset.
`rope_theta` was set to `1000000.0`. Trained with Axolotl. | {"datasets": ["Yukang/LongAlpaca-16k-length"]} | lucataco/Llama-3-8B-16K | null | [
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] | null | 2024-04-23T02:01:18+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #dataset-Yukang/LongAlpaca-16k-length #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This repo is a clone of mattshumer/Llama-3-8B-16K
This is an extended (16K) context version of LLaMA 3. Trained for five hours on 8x A6000 GPUs, using the 'Yukang/LongAlpaca-16k-length' dataset.
'rope_theta' was set to '1000000.0'. Trained with Axolotl. | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | Hozumi0801/distilbert-base-uncased-finetuned-emotion | null | [
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"safetensors",
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"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T02:02:08+00:00 | [] | [] | TAGS
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4557
* Accuracy: 0.871
* F1: 0.8602
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 384\n* eval\\_batch\\_size: 384\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",
"### Trai... | [
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null | null |
# extractio/Llama-3-8B-16K-Q6_K-GGUF
This model was converted to GGUF format from [`mattshumer/Llama-3-8B-16K`](https://huggingface.co/mattshumer/Llama-3-8B-16K) 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://huggi... | {"tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Yukang/LongAlpaca-16k-length"]} | extractio/Llama-3-8B-16K-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:Yukang/LongAlpaca-16k-length",
"region:us"
] | null | 2024-04-23T02:02:37+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-Yukang/LongAlpaca-16k-length #region-us
|
# extractio/Llama-3-8B-16K-Q6_K-GGUF
This model was converted to GGUF format from 'mattshumer/Llama-3-8B-16K' 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:
No... | [
"# extractio/Llama-3-8B-16K-Q6_K-GGUF\nThis model was converted to GGUF format from 'mattshumer/Llama-3-8B-16K' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI... | [
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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. -->
# phi-2-gpo-renew2-b0.01-log-i0
This model is a fine-tuned version of [lole25/phi-2-sft-lora-ultrachat](https://huggingface.co/lol... | {"license": "mit", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-gpo-renew2-b0.01-log-i0", "results": []}]} | DUAL-GPO/phi-2-gpo-renew2-b0.01-log-i0 | null | [
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"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-23T02:02:41+00:00 | [] | [] | TAGS
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| phi-2-gpo-renew2-b0.01-log-i0
=============================
This model is a fine-tuned version of lole25/phi-2-sft-lora-ultrachat on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6909
* Rewards/chosen: -0.0288
* Rewards/rejected: -0.0865
* Rew... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam wit... | [
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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. -->
# 0.001_ablation_4iters_bs256_nodpo_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_1", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_2 | null | [
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"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-04-23T02:02:43+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_4iters_bs256_nodpo_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
"# 0.001_ablation_4iters_bs256_nodpo_iter_2\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "typ... | Denek24/distilbert-emotion | null | [
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"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T02:06:06+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-emotion
==================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1410
* Accuracy: 0.937
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\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 | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_7b_instruct_v2_constitutional_rf_v1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://h... | {"license": "apache-2.0", "library_name": "peft", "tags": ["text-generation", "generated_from_trainer", "trl", "sft"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_7b_instruct_v2_constitutional_rf_v1", "results": []}]} | edpowers/mistral_7b_instruct_v2_constitutional_rf_v1 | null | [
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"text-generation",
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"license:apache-2.0",
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] | null | 2024-04-23T02:07:41+00:00 | [] | [] | TAGS
#peft #safetensors #mistral #text-generation #generated_from_trainer #trl #sft #conversational #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral\_7b\_instruct\_v2\_constitutional\_rf\_v1
=================================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1873
Model description
-----------------
More ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Epistemic_tiny_0.4_Seed104 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
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"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.4_Seed104 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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null | mlx |
# lucataco/Llama-3-8B-16K-4bit
This model was converted to MLX format from [`lucataco/Llama-3-8B-16K`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/lucataco/Llama-3-8B-16K) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx... | {"tags": ["mlx"], "datasets": ["Yukang/LongAlpaca-16k-length"]} | lucataco/Llama-3-8B-16K-4bit | null | [
"mlx",
"safetensors",
"llama",
"dataset:Yukang/LongAlpaca-16k-length",
"region:us"
] | null | 2024-04-23T02:10:36+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #dataset-Yukang/LongAlpaca-16k-length #region-us
|
# lucataco/Llama-3-8B-16K-4bit
This model was converted to MLX format from ['lucataco/Llama-3-8B-16K']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# lucataco/Llama-3-8B-16K-4bit\nThis model was converted to MLX format from ['lucataco/Llama-3-8B-16K']() using mlx-lm version 0.10.0.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
🌟 We included all instructions on how to download, use, and reproduce our various kinds of models at [this GitHub repo](https://github.com/Shenzhi-Wang/Llama3-Chinese-Chat). If you like our models, we would greatly appreciate it if you could star our Github repository. Additionally, please click "like" on our Huggin... | {"language": ["en", "zh"], "license": "other", "library_name": "transformers", "tags": ["llama-factory", "orpo"], "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation"} | shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit | null | [
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"en",
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T02:10:41+00:00 | [] | [
"en",
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#transformers #gguf #llama-factory #orpo #text-generation #en #zh #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #endpoints_compatible #region-us
|
We included all instructions on how to download, use, and reproduce our various kinds of models at this GitHub repo. If you like our models, we would greatly appreciate it if you could star our Github repository. Additionally, please click "like" on our HuggingFace repositories. Thank you!
# Updates:
- We provid... | [
"# Updates:\n- We provide an online interactive demo for Llama3-8B-Chinese-Chat-v2 here. Have fun with our latest model!\n- [Apr. 29, 2024] We now introduce Llama3-8B-Chinese-Chat-v2! Compared to v1, the training dataset of v2 is 5 times larger (~100K preference pairs), and it exhibits significant enhancements, e... | [
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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": []} | ndavidson/cisco-inam-merge | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T02:10:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #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]:
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text-generation | transformers |
## Llama-3-Open-Ko-8B-Instruct-preview
> Update @ 2024.05.01: Pre-Release [Llama-3-KoEn-8B](https://huggingface.co/beomi/Llama-3-KoEn-8B-preview) model & [Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
> Update @ 2024.04.24: Release [Llama-3-Open-Ko-8B model](https:/... | {"language": ["en", "ko"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-3-ko"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | beomi/Llama-3-Open-Ko-8B-Instruct-preview | null | [
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"region:... | null | 2024-04-23T02:12:58+00:00 | [
"2310.04799"
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"en",
"ko"
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|
## Llama-3-Open-Ko-8B-Instruct-preview
> Update @ 2024.05.01: Pre-Release Llama-3-KoEn-8B model & Llama-3-KoEn-8B-Instruct-preview
> Update @ 2024.04.24: Release Llama-3-Open-Ko-8B model & Llama-3-Open-Ko-8B-Instruct-preview
## Model Details
Llama-3-Open-Ko-8B-Instruct-preview
Llama-3-Open-Ko-8B model is continue... | [
"## Llama-3-Open-Ko-8B-Instruct-preview\n\n> Update @ 2024.05.01: Pre-Release Llama-3-KoEn-8B model & Llama-3-KoEn-8B-Instruct-preview\n\n> Update @ 2024.04.24: Release Llama-3-Open-Ko-8B model & Llama-3-Open-Ko-8B-Instruct-preview",
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null | null | ## dolphinllama3
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [dolphin-2.9-llama3-8b-q3_K_M.llamafile](https://huggingface.co/blueprintninja/dolphinllama3/resolve/main/dolphin-2.9-llama3-8b-q3_K_M.l... | {"tags": ["llamafile", "GGUF"], "base_model": "cognitivecomputations/dolphin-2.9-llama3-8b-gguf"} | blueprintninja/dolphinllama3 | null | [
"llamafile",
"GGUF",
"base_model:cognitivecomputations/dolphin-2.9-llama3-8b-gguf",
"region:us"
] | null | 2024-04-23T02:13:19+00:00 | [] | [] | TAGS
#llamafile #GGUF #base_model-cognitivecomputations/dolphin-2.9-llama3-8b-gguf #region-us
| ## dolphinllama3
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- dolphin-2.9-llama3-8b-q3_K_M.llamafile
This repository was created using the llamafile-builder
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"TAGS\n#llamafile #GGUF #base_model-cognitivecomputations/dolphin-2.9-llama3-8b-gguf #region-us \n## dolphinllama3\n\nllamafile lets you distribute and run LLMs with a single file. announcement blog post#### Downloads\n\n - dolphin-2.9-llama3-8b-q3_K_M.llamafile\n\nThis repository was created using the llamafile-bu... |
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... | CalvinYorkCS/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-23T02:13:20+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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] |
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. -->
# DreamBooth - DaichiT/scrap_metal_model_ldm
This is a dreambooth model derived from CompVis/ldm-text2im-large-256. The w... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "latent-diffusion", "latent-diffusion-diffusers"], "base_model": "CompVis/ldm-text2im-large-256", "inference": true, "instance_prompt": "a photo of sks scrap metal"} | DaichiT/scrap_metal_model_ldm | null | [
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"license:creativeml-openrail-m",
"diffusers:LDMTextToImagePipeline",
"region:us"
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#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #latent-diffusion #latent-diffusion-diffusers #base_model-CompVis/ldm-text2im-large-256 #license-creativeml-openrail-m #diffusers-LDMTextToImagePipeline #region-us
|
# DreamBooth - DaichiT/scrap_metal_model_ldm
This is a dreambooth model derived from CompVis/ldm-text2im-large-256. The weights were trained on a photo of sks scrap metal using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses ... | [
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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", "sft"]} | hanifsyarubany10/mistral-7b-100epochs-DoRA-LaMini-1e-3 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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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": []} | samikhan121/hf-vits-bn | null | [
"transformers",
"safetensors",
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | gnanambhals/gemma2b-medical_qa-finetune | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T02:17:55+00:00 | [
"1910.09700"
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#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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text-generation | transformers |
# Phi-3 Mini-4K-Instruct ONNX models
<!-- Provide a quick summary of what the model is/does. -->
This repository hosts the optimized versions of [Phi-3-mini-4k-instruct](https://aka.ms/phi3-mini-4k-instruct) to accelerate inference with ONNX Runtime.
Phi-3 Mini is a lightweight, state-of-the-art open model built upo... | {"license": "mit", "tags": ["ONNX", "DML", "ONNXRuntime", "phi3", "nlp", "conversational", "custom_code"], "pipeline_tag": "text-generation", "inference": false} | microsoft/Phi-3-mini-4k-instruct-onnx | null | [
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| Phi-3 Mini-4K-Instruct ONNX models
==================================
This repository hosts the optimized versions of Phi-3-mini-4k-instruct to accelerate inference with ONNX Runtime.
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text-generation | transformers |
# Phi-3 Mini-128K-Instruct ONNX models
<!-- Provide a quick summary of what the model is/does. -->
This repository hosts the optimized versions of [Phi-3-mini-128k-instruct](https://aka.ms/phi3-mini-128k-instruct) to accelerate inference with ONNX Runtime.
Phi-3 Mini is a lightweight, state-of-the-art open model bui... | {"license": "mit", "tags": ["ONNX", "DML", "ONNXRuntime", "phi3", "nlp", "conversational", "custom_code"], "pipeline_tag": "text-generation", "inference": false} | microsoft/Phi-3-mini-128k-instruct-onnx | null | [
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"custom_code",
"arxiv:2306.00978",
"license:mit",
"autotrain_compatible",
"has_space",
"region:us"
] | null | 2024-04-23T02:20:03+00:00 | [
"2306.00978"
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#transformers #onnx #phi3 #text-generation #ONNX #DML #ONNXRuntime #nlp #conversational #custom_code #arxiv-2306.00978 #license-mit #autotrain_compatible #has_space #region-us
| Phi-3 Mini-128K-Instruct ONNX models
====================================
This repository hosts the optimized versions of Phi-3-mini-128k-instruct to accelerate inference with ONNX Runtime.
Phi-3 Mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-2 - synthetic data and filtered webs... | [
"### Model Description\n\n\n* Developed by: Microsoft\n* Model type: ONNX\n* Language(s) (NLP): Python, C, C++\n* License: MIT\n* Model Description: This is a conversion of the Phi-3 Mini-4K-Instruct model for ONNX Runtime inference.\n\n\nAdditional Details\n------------------\n\n\n* ONNX Runtime Optimizations Blog... | [
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null | mlx |
# lucataco/Llama-3-8B-16K-8bit
This model was converted to MLX format from [`lucataco/Llama-3-8B-16K`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/lucataco/Llama-3-8B-16K) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx... | {"tags": ["mlx"], "datasets": ["Yukang/LongAlpaca-16k-length"]} | lucataco/Llama-3-8B-16K-8bit | null | [
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"safetensors",
"llama",
"dataset:Yukang/LongAlpaca-16k-length",
"region:us"
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#mlx #safetensors #llama #dataset-Yukang/LongAlpaca-16k-length #region-us
|
# lucataco/Llama-3-8B-16K-8bit
This model was converted to MLX format from ['lucataco/Llama-3-8B-16K']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** nldemo
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | nldemo/Llama-3-8B-Story-Summarization-QLoRA | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: nldemo
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | ripaaiii/fine-tune-C1-revised-newlr | 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 | mlx |
# mattshumer/Llama-3-8B-16K-4bit
This model was converted to MLX format from [`mattshumer/Llama-3-8B-16K`](https://huggingface.co/mattshumer/Llama-3-8B-16K) using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mattshumer/Llama-3-8B-16K) for more details on the model.
## Use with m... | {"tags": ["mlx"], "datasets": ["Yukang/LongAlpaca-16k-length"]} | mlx-community/Llama-3-8B-16K-4bit | null | [
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#mlx #safetensors #llama #dataset-Yukang/LongAlpaca-16k-length #region-us
|
# mattshumer/Llama-3-8B-16K-4bit
This model was converted to MLX format from 'mattshumer/Llama-3-8B-16K' using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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] |
text-generation | transformers |
# solar_merge_test_1
## 🧩 Configuration
```yaml
base_model: yanolja/KoSOLAR-10.7B-v0.2
dtype: float16
experts:
- source_model: yanolja/KoSOLAR-10.7B-v0.2
positive_prompts: ["당신은 사람들에게 도움을 주는 어시스턴트이다."]
- source_model: yanolja/Bookworm-10.7B-v0.4-DPO
positive_prompts: ["당신은 다방면으로 답변을 잘하는 어시스턴트이다."]
gate_... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "yanolja/KoSOLAR-10.7B-v0.2", "yanolja/Bookworm-10.7B-v0.4-DPO"], "base_model": ["yanolja/KoSOLAR-10.7B-v0.2", "yanolja/Bookworm-10.7B-v0.4-DPO"]} | jieunhan/solar_merge_test_3 | null | [
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"mixtral",
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"merge",
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"base_model:yanolja/Bookworm-10.7B-v0.4-DPO",
"license:apache-2.0... | null | 2024-04-23T02:36:09+00:00 | [] | [] | TAGS
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# solar_merge_test_1
## Configuration
## Usage
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | phoenixaiden33/ppo-SnowballTarget | null | [
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"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-23T02:37:16+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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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. -->
# OpenMath-Mistral-7B-v0.1-hf-squad2-flash-attention-2
This model is a fine-tuned version of [nvidia/OpenMath-Mistral-7B-v0.1-hf](... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "nvidia/OpenMath-Mistral-7B-v0.1-hf", "model-index": [{"name": "OpenMath-Mistral-7B-v0.1-hf-squad2-flash-attention-2", "results": []}]} | nediaz/OpenMath-Mistral-7B-v0.1-hf-squad2-flash-attention-2 | null | [
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"base_model:nvidia/OpenMath-Mistral-7B-v0.1-hf",
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T02:39:46+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-nvidia/OpenMath-Mistral-7B-v0.1-hf #license-apache-2.0 #region-us
|
# OpenMath-Mistral-7B-v0.1-hf-squad2-flash-attention-2
This model is a fine-tuned version of nvidia/OpenMath-Mistral-7B-v0.1-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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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": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | BarraHome/LLaMaRada-3-orpo-v2-8b | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Dogge/llama-3-70B-instruct-uncensored
**No more quants are incoming, as llama.cpp crashes when generating them.**
<!-- provided-fil... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "Dogge/llama-3-70B-instruct-uncensored", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mrad... | mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
No more quants are incoming, as URL crashes when generating them.
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
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null | mlx |
# mattshumer/Llama-3-8B-16K-8bit
This model was converted to MLX format from [`mattshumer/Llama-3-8B-16K`](https://huggingface.co/mattshumer/Llama-3-8B-16K) using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mattshumer/Llama-3-8B-16K) for more details on the model.
## Use with m... | {"tags": ["mlx"], "datasets": ["Yukang/LongAlpaca-16k-length"]} | mlx-community/Llama-3-8B-16K-8bit | null | [
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#mlx #safetensors #llama #dataset-Yukang/LongAlpaca-16k-length #region-us
|
# mattshumer/Llama-3-8B-16K-8bit
This model was converted to MLX format from 'mattshumer/Llama-3-8B-16K' using mlx-lm version 0.10.0.
Refer to the original model card for more details on the 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": ["trl", "sft"]} | hanifsyarubany10/mistral-7b-100epochs-NeFT-LaMini-1e-3 | 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. -->
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null | null | license: other
license_name: ieisystem
license_link: LICENSE
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text-generation | transformers |
<div align="center">
<h1>
Yuan 2
</h1>
</div>
<div align="center">
<a href="https://github.com/IEIT-Yuan/Yuan-2.0" target="_blank"> 💻GitHub Repo</a> | <a href="http://arxiv.org/pdf/2311.15786.pdf" target="_blank">📃Yuan2.0-paper</a>
</div>
# 目录/Table of Contents
- [模型介绍/Introduction](#Introduction)
- [代码调用/Code ... | {"license": "other", "license_name": "license-yuan", "license_link": "https://github.com/IEIT-Yuan/Yuan-2.0/blob/main/LICENSE-Yuan"} | IEITYuan/Yuan2-2B-Mars-hf | null | [
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|
Yuan 2
========
[GitHub Repo](URL target=) | [Yuan2.0-paper](URL target=)
目录/Table of Contents
====================
* 模型介绍/Introduction
* 代码调用/Code Usage
* Benchmark评估/Benchmark Evaluation
* 声明与协议/Terms and Conditions
* 引用/Cite
模型介绍/Introduction
=================
源2.0 是浪潮信息发布的新一代基础语言大模型。我们开源了全部的3个模型源2.0-... | [] | [
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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": []} | dzungPaduahsgs/Vistral7B_mix_v2_adafactor_model_8bit_batch_32_lr_2e-5_merged | null | [
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|
# Model Card for Model ID
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null | null |
# ubitus-whisper-v1.0-medium
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium).
The original Whisper model wasn't very accurate at translating medical terms.
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|
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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": []} | abhijithgururaj/blip2-opt-2.7b-fr-pre-lora-abhijith | null | [
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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. -->
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- **Shared by [optional]:** [More Information Needed]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
- **Developed by:** [LMSYS](https://lmsys.org/)
- **Model type:** An auto-regressive language model based on the transformer architecture
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|
# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
- Developed by: LMSYS
- Model type: An auto-regressive language model based on the transformer architecture
- License: Llama 2 Community License Agreement
- Finetuned... | [
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text-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": []} | Gutema/ARFineTuneBert | null | [
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"1910.09700"
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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 | # llm-jp-13b-v2.0
This repository provides large language models developed by [LLM-jp](https://llm-jp.nii.ac.jp/), a collaborative project launched in Japan.
| Model Variant |
| :--- |
|**Instruction models**|
| [llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "programming_language": ["C", "C++", "C#", "Go", "Java", "JavaScript", "Lua", "PHP", "Python", "Ruby", "Rust", "Scala", "TypeScript"], "pipeline_tag": "text-generation", "inference": false} | llm-jp/llm-jp-13b-v2.0 | null | [
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| llm-jp-13b-v2.0
===============
This repository provides large language models developed by LLM-jp, a collaborative project launched in Japan.
Checkpoints format: Hugging Face Transformers
Required Libraries and Their Versions
-------------------------------------
* torch>=2.3.0
* transformers>=4.40.1
* token... | [
"### Pre-training\n\n\nThe models have been pre-trained using a blend of the following datasets.",
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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. -->
# 0.01_ablation_4iters_bs256_iter_3
This model is a fine-tuned version of [ShenaoZ/0.01_ablation_4iters_bs256_iter_2](https://hugg... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.01_ablation_4iters_bs256_iter_2", "model-index": [{"name": "0.01_ablation_4iters_bs256_iter_3", "results": []}]} | ShenaoZ/0.01_ablation_4iters_bs256_iter_3 | null | [
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"endpoints_co... | null | 2024-04-23T02:51:54+00:00 | [] | [] | TAGS
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|
# 0.01_ablation_4iters_bs256_iter_3
This model is a fine-tuned version of ShenaoZ/0.01_ablation_4iters_bs256_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information nee... | [
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