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text-generation | transformers | # jeiku/Elly_7B AWQ
- Model creator: [jeiku](https://huggingface.co/jeiku)
- Original model: [Elly_7B](https://huggingface.co/jeiku/Elly_7B)
This is a merge of pre-trained language models created us... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "mergekit", "merge"], "base_model": ["MaziyarPanahi/samantha-mistral-7b-Mistral-7B-Instruct-v0.1", "cognitivecomputations/dolphin-2.6-mistral-7b", "SanjiWa... | solidrust/Elly_7B-AWQ | null | [
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"base_... | null | 2024-04-25T19:38:30+00:00 | [] | [
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- Model creator: jeiku
- Original model: Elly_7B
!image/png
This is a merge of pre-trained language models created using mergekit.
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantiza... | [
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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. -->
# my_awesome_model
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-cased", "model-index": [{"name": "my_awesome_model", "results": []}]} | kellyjiayixu/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2601
* Accuracy: 0.9343
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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question-answering | transformers |
# Uploaded model
- **Developed by:** Ahmedelmorshidy
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
this model is used to influra app to build it's chatbot .
by eng : ahmed elmorshidy
| {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["Ahmedelmorshidy/influraQAs"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit", "pipeline_tag": "question-answering"} | Ahmedelmorshidy/influra_model | null | [
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|
# Uploaded model
- Developed by: Ahmedelmorshidy
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
this model is used to influra app to build it's chatbot .
by eng : ahmed elmorshidy
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-131_PasswordMatch
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/El... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-131_PasswordMatch", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-131_PasswordMatch | null | [
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|
# robust_llm_pythia-1b_mz-131_PasswordMatch
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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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": []} | martinsinnona/visdecode_2024_3 | 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 |
# 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 | mlx |
# GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-3.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-3.0) for more details on the... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-3.0-mlx | null | [
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#mlx #safetensors #phi3 #custom_code #license-apache-2.0 #region-us
|
# GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-3.0']().
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# wav2vec2-turkish-300m-6
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["fleurs"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-turkish-300m-6", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"... | tgrhn/wav2vec2-turkish-300m-6 | null | [
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| wav2vec2-turkish-300m-6
=======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2805
* Wer: 0.1808
Model description
-----------------
More information needed
Intended uses & limitation... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "kaist-ai/mistral-orpo-capybara-7k", "argilla/CapybaraHermes-2.5-Mistral-7B"], "base_model": "Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed", "quantized_by": "mradermacher"} | mradermacher/KangalKhan-Alpha-Sapphiroid-7B-Fixed-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ppopiolek
- **License:** apache-2.0
- **Finetuned from model :** TinyLlama/TinyLlama-1.1B-Chat-v1.0
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | ppopiolek/tinyllama_eng_long | null | [
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|
# Uploaded model
- Developed by: ppopiolek
- License: apache-2.0
- Finetuned from model : TinyLlama/TinyLlama-1.1B-Chat-v1.0
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | null |
## Llamacpp imatrix Quantizations of Meta-Llama-3-8B-Instruct-64k
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2717">b2717</a> for quantization.
Original model: https://huggingface.co/NurtureAI/Meta-Llama-3-8B-Instruct-64k... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-8B-Instruct-64k-GGUF | null | [
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#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Llamacpp imatrix Quantizations of Meta-Llama-3-8B-Instruct-64k
--------------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Do... | [] | [
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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": []} | michidoma/bert-finetuned-political-sa-al | null | [
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-Instruct-64k-3.0bpw-h6-exl2 | null | [
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| Model Details
-------------
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | RobertML/sn6a | 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 |
# GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.5) for more details on the... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.5-mlx | null | [
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#mlx #safetensors #phi3 #custom_code #license-apache-2.0 #region-us
|
# GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-Instruct-64k-4.0bpw-h6-exl2 | null | [
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| Model Details
-------------
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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. -->
# llama2-7b-sharded-bf16-finetuned-mental-health-conversational
This model is a fine-tuned version of [TinyPixel/Llama-2-7B-bf16-s... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "TinyPixel/Llama-2-7B-bf16-sharded", "model-index": [{"name": "llama2-7b-sharded-bf16-finetuned-mental-health-conversational", "results": []}]} | gunjanjoshi/llama2-7b-sharded-bf16-finetuned-mental-health-conversational | null | [
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| llama2-7b-sharded-bf16-finetuned-mental-health-conversational
=============================================================
This model is a fine-tuned version of TinyPixel/Llama-2-7B-bf16-sharded on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1097
Model description
--... | [
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text-generation | transformers |
# MiniChat-2-3B-Sorah
MiniChat-2-3B-Sorah es un modelo de lenguaje basado en MiniChat-1.5-3B y ajustado con datos de instrucción y preferencia.
El modelo MiniChat-1.5-3B-Sorah complementa el modelo de voz Sorah, que fue creado por el proyecto Piper. El modelo Sorah está en proceso de entrenamie... | {"language": ["en", "zh", "es"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "Sorah", "spanish", "HirCoir"], "widget": [{"text": "<s> [|User|] Hola </s>[|Assistant|]"}, {"text": "<s> [|User|] Que es Python? </s>[|Assistant|]"}, {"text": "<s> [|User|] Hi </s>[|Assistant|]"}]} | HirCoir/MiniChat-1.5-3B-Sorah | null | [
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|
# MiniChat-2-3B-Sorah
!Sorah
MiniChat-2-3B-Sorah es un modelo de lenguaje basado en MiniChat-1.5-3B y ajustado con datos de instrucción y preferencia.
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text-classification | transformers | # tam_test_merge_out_drug_data_dare_linear_test_new_run
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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The follow... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_3_drug_data_new_run", "mllm-dev/gpt2_f_experiment_2_drug_data_new_run", "mllm-dev/gpt2_f_experiment_1_drug_data_new_run", "mllm-dev/gpt2_f_experiment_0_drug_data_new_run", "mllm-dev/gpt2_f_experiment_4_drug_data_n... | mllm-dev/gpt2_m_experiment_drug_data_linear_test_new_run | null | [
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"2203.05482"
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#transformers #safetensors #gpt2 #text-classification #mergekit #merge #arxiv-2203.05482 #base_model-mllm-dev/gpt2_f_experiment_3_drug_data_new_run #base_model-mllm-dev/gpt2_f_experiment_2_drug_data_new_run #base_model-mllm-dev/gpt2_f_experiment_1_drug_data_new_run #base_model-mllm-dev/gpt2_f_experiment_0_drug_dat... | # tam_test_merge_out_drug_data_dare_linear_test_new_run
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* mllm-dev/gpt2_f_experiment_3_dru... | [
"# tam_test_merge_out_drug_data_dare_linear_test_new_run\n\nThis is a merge of pre-trained language models created using mergekit.",
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-Instruct-64k-5.0bpw-h6-exl2 | null | [
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"autotrain_compatible",
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"5-bit",
"region:us"
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"en"
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
"#### Transformers pipeline",
"#### Transformers AutoModelForCausalLM",
"### Use with 'llama3'\n\n\n... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mpasila/Llama-3-LimaRP-Instruct-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "not-for-all-audiences"], "datasets": ["grimulkan/LimaRP-augmented", "mpasila/LimaRP-augmented-8k-context"], "base_model": "mpasila/Llama-3-LimaRP-Instruc... | mradermacher/Llama-3-LimaRP-Instruct-8B-GGUF | null | [
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"base_model:mpasila/Llama-3-LimaRP-Instruct-8B",
"license:apache-2.0",
"endpoints_compa... | null | 2024-04-25T20:03:22+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #llama #trl #sft #not-for-all-audiences #en #dataset-grimulkan/LimaRP-augmented #dataset-mpasila/LimaRP-augmented-8k-context #base_model-mpasila/Llama-3-LimaRP-Instruct-8B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-Instruct-64k-6.0bpw-h6-exl2 | null | [
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"conversational",
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-25T20:05:20+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
"#### Transformers pipeline",
"#### Transformers AutoModelForCausalLM",
"### Use with 'llama3'\n\n\n... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingfac... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-132_EnronSpam_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-132_EnronSpam_n-its-10 | null | [
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"gpt_neox",
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"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T20:06:08+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-14m_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
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"## Intended uses & limitations\n\nMore information needed",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | ahforoughi/ppo-Pyramids-Training | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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null | mlx |
# GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2) for more details on the... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2-mlx | null | [
"mlx",
"safetensors",
"phi3",
"custom_code",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T20:06:58+00:00 | [] | [] | TAGS
#mlx #safetensors #phi3 #custom_code #license-apache-2.0 #region-us
|
# GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2']().\nRefer to the original model card for more details on the model.",
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text-generation | transformers | # feeltheAGI/maverick-llama3-8B AWQ
- Model creator: [feeltheAGI](https://huggingface.co/feeltheAGI)
- Original model: [maverick-llama3-8B](https://huggingface.co/feeltheAGI/maverick-llama3-8B)
![1714015975262634.png](https://cdn-uploads.huggingface.co/production/uploads/65d1f383351255ba48a4f831/GISW902kcsfdnCMnna0PU... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "meta-llama/Meta-Llama-3-8B"], "datasets": ["feeltheAGI/maverick-sharegpt"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/maverick-llama3-8B-AWQ | null | [
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"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T20:08:10+00:00 | [] | [] | TAGS
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| # feeltheAGI/maverick-llama3-8B AWQ
- Model creator: feeltheAGI
- Original model: maverick-llama3-8B
!URL
## Model Summary
model is using ChatML prompt template format.
example:
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazi... | [
"# feeltheAGI/maverick-llama3-8B AWQ\n\n- Model creator: feeltheAGI\n- Original model: maverick-llama3-8B\n\n!URL",
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"### Install the necessary packages",
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-Instruct-64k-8.0bpw-h8-exl2 | null | [
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"license:other",
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"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-25T20:08:15+00:00 | [] | [
"en"
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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"#### Transformers AutoModelForCausalLM",
"### Use with 'llama3'\n\n\n... | [
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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. -->
# gpt2-sft-lima
This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the GAIR/... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["GAIR/lima"], "base_model": "JackFram/llama-68m", "model-index": [{"name": "gpt2-sft-lima", "results": []}]} | pkarypis/gpt2-sft-lima | null | [
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"dataset:GAIR/lima",
"base_model:JackFram/llama-68m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-ge... | null | 2024-04-25T20:08:39+00:00 | [] | [] | TAGS
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| gpt2-sft-lima
=============
This model is a fine-tuned version of JackFram/llama-68m on the GAIR/lima dataset.
It achieves the following results on the evaluation set:
* Loss: 5.5083
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
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text-generation | transformers | 
# Tiny-Pirate-1.1b-v0.2
Tiny-Pirate-1.1b-v0.2 is a significantly enhanced version of TinyPirate! This version, meticulously fine-tuned from the TinyLlama-1.1B model, demonstrates marked improvements in performance... | {"language": ["en"], "license": "cc-by-nc-4.0", "widget": [{"text": "What is best in life?\n", "example_title": "Pirate Life Wisdom"}]} | phanerozoic/Tiny-Pirate-1.1b-v0.2 | null | [
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| !URL
# Tiny-Pirate-1.1b-v0.2
Tiny-Pirate-1.1b-v0.2 is a significantly enhanced version of TinyPirate! This version, meticulously fine-tuned from the TinyLlama-1.1B model, demonstrates marked improvements in performance, thematic adherence, and personality compared to its predecessor, TinyPiratev0.1.
- Developed by: p... | [
"# Tiny-Pirate-1.1b-v0.2\n\nTiny-Pirate-1.1b-v0.2 is a significantly enhanced version of TinyPirate! This version, meticulously fine-tuned from the TinyLlama-1.1B model, demonstrates marked improvements in performance, thematic adherence, and personality compared to its predecessor, TinyPiratev0.1.\n\n- Developed b... | [
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text-generation | transformers | # jeiku/Garbage_9B AWQ
- Model creator: [jeiku](https://huggingface.co/jeiku)
- Original model: [Garbage_9B](https://huggingface.co/jeiku/Garbage_9B)
## Model Summary
This is a finetune of Infinity... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "datasets": ["ResplendentAI/Luna_Alpaca"], "base_model": ["ChaoticNeutrals/InfinityNexus_9B", "jeiku/luna_lora_9B"], "pipeline_tag": "text-generation... | solidrust/Garbage_9B-AWQ | null | [
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| # jeiku/Garbage_9B AWQ
- Model creator: jeiku
- Original model: Garbage_9B
!image/png
## Model Summary
This is a finetune of InfinityNexus_9B. This is my first time tuning a frankenmerge, so hopefully it works out. The goal is to improve intelligence and RP ability beyond the 7B original models.
## How to use
###... | [
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image-to-text | transformers |
## Model description
This model is an encoder-decoder model, consisting of an image Transformer as encoder, and a text Transformer as decoder. The image encoder was initialized from the weights of Dino-v2, while the text decoder was initialized from the weights of RoBERTa.
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null | null | # Keto Energize: Effektiv und Preisgünstig für Ihre Fitnessziele!
[](https://mandarv.com/JpCS?sub1=KetoEnergize)
Träumen Sie von einem fitteren und gesünderen Körper? Möchten Sie die Vorteile der ketogenen Ernährung nutzen, aber nicht Ihr gesamtes Budget daf... | {} | fafab34728/ketoenergize | null | [
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#region-us
| # Keto Energize: Effektiv und Preisgünstig für Ihre Fitnessziele!
![Keto Energize](URL
Träumen Sie von einem fitteren und gesünderen Körper? Möchten Sie die Vorteile der ketogenen Ernährung nutzen, aber nicht Ihr gesamtes Budget dafür aufwenden? Dann ist Keto Energize die Lösung, nach der Sie gesucht haben!
__Erfahr... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | HirCoir/MiniChat-1.5-3B-Sorah-4bit | 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-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-speech | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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null | mlx |
# GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-3.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-3.0) for more details on the model... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-3.0-mlx | null | [
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# GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-3.0']().
Refer to the original model card for more details on the model.
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text-classification | transformers | # tam_test_merge_out_drug_data_ties_test_new_run
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/gpt2_f_experiment_0_drug... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_0_drug_data_new_run", "mllm-dev/gpt2_f_experiment_2_drug_data_new_run", "mllm-dev/gpt2_f_experiment_4_drug_data_new_run", "mllm-dev/gpt2_f_experiment_3_drug_data_new_run", "mllm-dev/gpt2_f_experiment_1_drug_data_n... | mllm-dev/gpt2_m_experiment_drug_data_ties_test_new_run | null | [
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This is a merge of pre-trained language models created using mergekit.
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Llama-3-8b-64k-PoSE-GGUF-smashed | null | [
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"pruna-ai",
"region:us"
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the winglian/Llama-3-8b-64k-PoSE model.
---------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
==... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/cza/WZU-3D-ChatLLM-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "cza/WZU-3D-ChatLLM-8B", "quantized_by": "mradermacher"} | mradermacher/WZU-3D-ChatLLM-8B-GGUF | null | [
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] | TAGS
#transformers #gguf #en #base_model-cza/WZU-3D-ChatLLM-8B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | 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": []} | HenryCai1129/adapter-toxic2nontoxic-100-filtered-50-0.003 | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_tata-seqsight_4096_512_27M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_4096_512_27M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_4096_512_27M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_4096\_512\_27M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
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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"]} | abednegokam/maduniai | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-classification | transformers | # tam_test_merge_out_drug_data_dare_ties_test_new_run
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge m... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_4_drug_data_new_run", "mllm-dev/gpt2_f_experiment_0_drug_data_new_run", "mllm-dev/gpt2_f_experiment_1_drug_data_new_run", "mllm-dev/gpt2_f_experiment_3_drug_data_new_run", "mllm-dev/gpt2_f_experiment_2_drug_data_n... | mllm-dev/gpt2_m_experiment_drug_data_dare_ties_test_new_run | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using mllm-dev/gpt2_f_experiment_0_drug_data_new_run as a base.
### Models Merged
The following 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": []} | happylayers/sc26 | 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 |
# GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.5) for more details on the model... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.5-mlx | null | [
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#mlx #safetensors #phi3 #custom_code #license-apache-2.0 #region-us
|
# GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
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text-classification | transformers | # tam_test_merge_out_drug_data_dare_linear_test_new_run
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 linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [mllm-dev/gpt2_f_exp... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_2_drug_data_new_run", "mllm-dev/gpt2_f_experiment_0_drug_data_new_run", "mllm-dev/gpt2_f_experiment_4_drug_data_new_run", "mllm-dev/gpt2_f_experiment_3_drug_data_new_run", "mllm-dev/gpt2_f_experiment_1_drug_data_n... | mllm-dev/gpt2_m_experiment_drug_data_dare_linear_test_new_run | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear DARE merge method using mllm-dev/gpt2_f_experiment_0_drug_data_new_run as a base.
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | TaniaSF/ppo-Huggy | null | [
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"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-25T20:23:37+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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null | null | # MiniChat-1.5-3B-Sorah
Este es el repositorio del modelo de IA MiniChat-1.5-3B-Sorah. Está basado en el modelo MiniChat-1.5-3B, que puedes encontrar [aquí](https://huggingface.co/GeneZC/MiniChat-1.5-3B).
El modelo MiniChat-1.5-3B-Sorah complementa el modelo de voz Sorah, que fue creado por el pr... | {"language": ["es", "en"], "tags": ["sorah", "minichat"]} | HirCoir/MiniChat-1.5-3B-Sorah-GGUF | null | [
"gguf",
"sorah",
"minichat",
"es",
"en",
"region:us"
] | null | 2024-04-25T20:24:14+00:00 | [] | [
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#gguf #sorah #minichat #es #en #region-us
| # MiniChat-1.5-3B-Sorah
!Sorah
Este es el repositorio del modelo de IA MiniChat-1.5-3B-Sorah. Está basado en el modelo MiniChat-1.5-3B, que puedes encontrar aquí.
El modelo MiniChat-1.5-3B-Sorah complementa el modelo de voz Sorah, que fue creado por el proyecto Piper. El modelo Sorah está en proceso de entrenamiento ... | [
"# MiniChat-1.5-3B-Sorah\n!Sorah\n\nEste es el repositorio del modelo de IA MiniChat-1.5-3B-Sorah. Está basado en el modelo MiniChat-1.5-3B, que puedes encontrar aquí.\n\nEl modelo MiniChat-1.5-3B-Sorah complementa el modelo de voz Sorah, que fue creado por el proyecto Piper. El modelo Sorah está en proceso de entr... | [
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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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | kellyjiayixu/my_awesome_eli5_clm-model | null | [
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"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 7.1285
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 0.5",
"### Trainin... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-2b-it - bnb 4bits
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/alpindal... | {} | RichardErkhov/alpindale_-_gemma-2b-it-4bits | null | [
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Github
Discord
Request more models
gemma-2b-it - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
library\_name: transformers
tags: []
extra\_gated\_heading: "Access Gemma on Hugging Face"
extra\_gated\_prompt... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-2b-it - bnb 8bits
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/alpindal... | {} | RichardErkhov/alpindale_-_gemma-2b-it-8bits | null | [
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Github
Discord
Request more models
gemma-2b-it - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
library\_name: transformers
tags: []
extra\_gated\_heading: "Access Gemma on Hugging Face"
extra\_gated\_prompt... | [
"### Description\n\n\nGemma is a family of lightweight, state-of-the-art open models from Google,\nbuilt from the same research and technology used to create the Gemini models.\nThey are text-to-text, decoder-only large language models, available in English,\nwith open weights, pre-trained variants, and instruction... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-dmae-va-U5-100bcont-i
This model was trained from scratch on an unknown dataset.
It achieves the following ... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-100bcont-i", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-100bcont-i | null | [
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"tensorboard",
"safetensors",
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"image-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T20:29:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| vit-base-patch16-224-dmae-va-U5-100bcont-i
==========================================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5017
* Accuracy: 0.8667
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | martinsinnona/visdecode_2024_4 | null | [
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"safetensors",
"pix2struct",
"text2text-generation",
"arxiv:1910.09700",
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"region:us"
] | null | 2024-04-25T20:29:59+00:00 | [
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] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-2b-it - GGUF
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/alpindale/gem... | {} | RichardErkhov/alpindale_-_gemma-2b-it-gguf | null | [
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Github
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Request more models
gemma-2b-it - GGUF
* Model creator: URL
* Original model: URL
Name: gemma-2b-it.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.08GB
Name: gemma-2b-it.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.16GB
Name: gemma-2b-it.IQ3\_S.gguf, Quant metho... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-lima
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["GAIR/lima"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-lima", "results": []}]} | pkarypis/mistral-lima | null | [
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"base_model:mistralai/Mistral-7B-v0.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-infere... | null | 2024-04-25T20:32:41+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mistral #text-generation #alignment-handbook #trl #sft #generated_from_trainer #conversational #dataset-GAIR/lima #base_model-mistralai/Mistral-7B-v0.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| mistral-lima
============
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the GAIR/lima dataset.
It achieves the following results on the evaluation set:
* Loss: 3.9177
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
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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. -->
# mental_health_model_rob
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "mental_health_model_rob", "results": []}]} | AlexanderHolmes0/mental_health_model_rob | null | [
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| mental\_health\_model\_rob
==========================
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5858
* Accuracy: 0.7585
Model description
-----------------
More information needed
Intended uses & limita... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-squad-qg-v2
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "t5-small-squad-qg-v2", "results": []}]} | Gizachew/t5-small-squad-qg-v2 | null | [
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| t5-small-squad-qg-v2
====================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3088
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers | # feeltheAGI/Maverick-7B AWQ
- Model creator: [feeltheAGI](https://huggingface.co/feeltheAGI)
- Original model: [Maverick-7B](https://huggingface.co/feeltheAGI/Maverick-7B)
## Model Summa... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Maverick-7B-AWQ | null | [
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"mistral",
"text-generation",
"4-bit",
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#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # feeltheAGI/Maverick-7B AWQ
- Model creator: feeltheAGI
- Original model: Maverick-7B
!URL
## Model Summary
This model is a merge of the following models:
* mlabonne/Marcoro14-7B-slerp
* mlabonne/NeuralBeagle14-7B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ i... | [
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text-generation | transformers | # macadeliccc/Opus-Samantha-Llama-3-8B AWQ
- Model creator: [macadeliccc](https://huggingface.co/macadeliccc)
- Original model: [Opus-Samantha-Llama-3-8B](https://huggingface.co/macadeliccc/Opus-Samantha-Llama-3-8B)
## model Summary
Opus-Samantha-Llama-3-8B is a SFT model made with [AutoSloth](https://colab.research... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "nsfw"], "datasets": ["macadeliccc/opus_samantha"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Opus-Samantha-Llama-3-8B-AWQ | null | [
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"license:apache-2.0",
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| # macadeliccc/Opus-Samantha-Llama-3-8B AWQ
- Model creator: macadeliccc
- Original model: Opus-Samantha-Llama-3-8B
## model Summary
Opus-Samantha-Llama-3-8B is a SFT model made with AutoSloth by macadeliccc
_model is curretly very nsfw. uneven distribution of subjects in dataset. will be back with v2_
## How to us... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_train_seq_cls_run4
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral_train_seq_cls_run4", "results": []}]} | isaaclee/mistral_train_seq_cls_run4 | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral_train_seq_cls_run4
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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feature-extraction | 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": []} | furrutiav/roberta_latent_embds_chatgpt_new_juke_sst2 | null | [
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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sentence-similarity | sentence-transformers |
# kien-vu-uet/finetune-vietnamese-bi-encoder
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | kien-vu-uet/finetune-vietnamese-bi-encoder | null | [
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"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
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"region:us"
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#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# kien-vu-uet/finetune-vietnamese-bi-encoder
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
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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. -->
# whisper-small-finetuned
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-finetuned", "results": []}]} | KevinKibe/whisper-small-finetuned | null | [
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"safetensors",
"generated_from_trainer",
"dataset:common_voice_16_1",
"base_model:openai/whisper-small",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T20:40:43+00:00 | [] | [] | TAGS
#peft #pytorch #safetensors #generated_from_trainer #dataset-common_voice_16_1 #base_model-openai/whisper-small #license-apache-2.0 #region-us
|
# whisper-small-finetuned
This model is a fine-tuned version of openai/whisper-small on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.6432
- eval_wer: 109.0909
- eval_runtime: 14.3752
- eval_samples_per_second: 0.278
- eval_steps_per_second: 0.07
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null | null | q4 from [vonjack/Phi-3-mini-4k-instruct-LLaMAfied](https://huggingface.co/vonjack/Phi-3-mini-4k-instruct-LLaMAfied)
cf. the [conversion script](https://huggingface.co/vonjack/Phi-3-mini-4k-instruct-LLaMAfied/blob/main/convert.py) | {"license": "mit"} | cstr/Phi-3-mini-4k-instruct-LLaMAfied-GGUF | null | [
"gguf",
"license:mit",
"region:us"
] | null | 2024-04-25T20:43:29+00:00 | [] | [] | TAGS
#gguf #license-mit #region-us
| q4 from vonjack/Phi-3-mini-4k-instruct-LLaMAfied
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixelcopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PL... | Dejauxvue/Reinforce-pixelcopter | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-25T20:47:44+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | abhinavv3/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T20:48:32+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] | [
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"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-electrical-images
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/goo... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "finetuned-electrical-images", "results": []}]} | Safawat/finetuned-electrical-images | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T20:49:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| finetuned-electrical-images
===========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Electrical\_components(VIT) dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3726
* Accuracy: 0.8861
Model description
-----------------
More informat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Train... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If th... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed", "argilla/distilabeled-OpenHermes-2.5-Mistral-7B"], "base_model": "Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed", "quantized_by": "mradermacher"} | mradermacher/KangalKhan-Alpha-Rubyroid-7B-Fixed-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed",
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"en",
"base_model:Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T20:50:15+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed #argilla/distilabeled-OpenHermes-2.5-Mistral-7B #en #base_model-Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed #argilla/distilabeled-OpenHermes-2.5-Mistral-7B #en #base_model-Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
101
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"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed #argilla/distilabeled-OpenHermes-2.5-Mistral-7B #en #base_model-Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DataPilot/ArrowSmart-14B-Llama
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "meta-llama/Meta-Llama-3-8B-Instruct", "DataPilot/japanese-Llama-2-7b-instruct-bf16"], "base_model": "DataPilot/ArrowSmart-14B-Llama", "quantized_by": "mradermacher"} | mradermacher/ArrowSmart-14B-Llama-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"meta-llama/Meta-Llama-3-8B-Instruct",
"DataPilot/japanese-Llama-2-7b-instruct-bf16",
"en",
"base_model:DataPilot/ArrowSmart-14B-Llama",
"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T21:00:40+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #meta-llama/Meta-Llama-3-8B-Instruct #DataPilot/japanese-Llama-2-7b-instruct-bf16 #en #base_model-DataPilot/ArrowSmart-14B-Llama #license-llama3 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #meta-llama/Meta-Llama-3-8B-Instruct #DataPilot/japanese-Llama-2-7b-instruct-bf16 #en #base_model-DataPilot/ArrowSmart-14B-Llama #license-llama3 #endpoints_compatible #region-us \n"
] | [
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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. -->
# esm2_t12_35M-lora-binding-sites_2024-04-25_17-02-01
This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t12_35M_UR50D", "model-index": [{"name": "esm2_t12_35M-lora-binding-sites_2024-04-25_17-02-01", "results": []}]} | wcvz/esm2_t12_35M-lora-binding-sites_2024-04-25_17-02-01 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:facebook/esm2_t12_35M_UR50D",
"license:mit",
"region:us"
] | null | 2024-04-25T21:02:01+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-facebook/esm2_t12_35M_UR50D #license-mit #region-us
| esm2\_t12\_35M-lora-binding-sites\_2024-04-25\_17-02-01
=======================================================
This model is a fine-tuned version of facebook/esm2\_t12\_35M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3783
* Accuracy: 0.8613
Model description
---... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005701568055793089\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 8893\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* num\\_epochs:... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005701568055793089\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n*... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-facebook/esm2_t12_35M_UR50D #license-mit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005701568055793089\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed:... |
text-generation | transformers | # cgato/L3-TheSpice-8b-v0.8.3 AWQ
- Model creator: [cgato](https://huggingface.co/cgato)
- Original model: [L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3)
## Model Info
Now not overtrained and with the tokenizer fix to base llama3. Trained for 3 epochs.
The latest TheSpice, dipped in Mam... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/L3-TheSpice-8b-v0.8.3-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T21:03:22+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #license-cc-by-nc-4.0 #text-generation-inference #region-us
| # cgato/L3-TheSpice-8b-v0.8.3 AWQ
- Model creator: cgato
- Original model: L3-TheSpice-8b-v0.8.3
## Model Info
Now not overtrained and with the tokenizer fix to base llama3. Trained for 3 epochs.
The latest TheSpice, dipped in Mama Liz's LimaRP Oil.
I've focused on making the model more flexible and provide a more ... | [
"# cgato/L3-TheSpice-8b-v0.8.3 AWQ\n\n- Model creator: cgato\n- Original model: L3-TheSpice-8b-v0.8.3",
"## Model Info\n\nNow not overtrained and with the tokenizer fix to base llama3. Trained for 3 epochs.\n\nThe latest TheSpice, dipped in Mama Liz's LimaRP Oil.\nI've focused on making the model more flexible an... | [
"TAGS\n#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #license-cc-by-nc-4.0 #text-generation-inference #region-us \n",
"# cgato/L3-TheSpice-8b-v0.8.3 AWQ\n\n- Model creator: cgato\n- Original model: L3-TheSpice-8b-v0.8.3",
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"TAGS\n#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #license-cc-by-nc-4.0 #text-generation-inference #region-us \n# cgato/L3-TheSpice-8b-v0.8.3 AWQ\n\n- Model creator: cgato\n- Original model: L3-TheSpice-8b-v0.8.3## Model Info\n\nNow not overtrained and... |
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="FAYSSAL12/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"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": ... | FAYSSAL12/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-25T21:03:22+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-4 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-1b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T21:03:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informati... | [
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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": []} | mehmetOzkan/turkishCallReviews1-ds-mini | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T21:04:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="FAYSSAL12/SABRIFAYSSAL_ENV_TAXI_V3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slip... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "SABRIFAYSSAL_ENV_TAXI_V3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "v... | FAYSSAL12/SABRIFAYSSAL_ENV_TAXI_V3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-25T21:06:01+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["microsoft/Orca-2-7b", "arcee-ai/Patent-Instruct-7b", "NousResearch/Llama-2-7b-hf"]} | mergekit-community/mergekit-ties-polycrr | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using NousResearch/Llama-2-7b-hf as a base.
### Models Merged
The following models were included in the merge:
* microsoft/Orca-2-7b
* arcee-ai/Patent-I... | [
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text-generation | transformers | Quantized using the script below:
Command:
```bash
python quantize.py --model-id mistralai/Mixtral-8x7B-Instruct-v0.1 --save-dir Mixtral-8x7B-Instruct-v0.1-FP8 --num-samples 512
```
Script:
```python
import argparse
import gc
import re
from typing import Tuple
import torch
import torch.functional as F
import transfo... | {"tags": ["fp8"]} | nm-testing/Mixtral-8x7B-Instruct-v0.1-FP8 | null | [
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#transformers #safetensors #mixtral #text-generation #fp8 #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Quantized using the script below:
Command:
Script:
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text-generation | transformers |
# Uploaded model
- **Developed by:** 1024m
- **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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | 1024m/LLAMA3-01-EXALT-1A-4bit | null | [
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|
# Uploaded model
- Developed by: 1024m
- 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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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-cs-cv11-train-stretch20-gain10-pitch20-gaussian20-lowpass10
This model is a fine-tuned version of [openai/whisper-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "whisper-base-cs-cv11-train-stretch20-gain10-pitch20-gaussian20-lowpass10", "results": [{"task": {"type": "automatic-speech-recognition", "na... | LadislavVasina1/whisper-base-cs-cv11-train-stretch20-gain10-pitch20-gaussian20-lowpass10 | null | [
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| whisper-base-cs-cv11-train-stretch20-gain10-pitch20-gaussian20-lowpass10
========================================================================
This model is a fine-tuned version of openai/whisper-base on the common\_voice\_11\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3660
* W... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# dolphin-pt-v0.2
This model is a fine-tuned version of [unsloth/mistral-7b-v0.2](https://huggingface.co/unsloth/mistral-7b-v0.2) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["adalbertojunior/dolphin_pt_test"], "base_model": "unsloth/mistral-7b-v0.2", "model-index": [{"name": "dolphin-pt-v0.2", "results": []}]} | adalbertojunior/Mistral-7b-Portuguese-V0.1 | null | [
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"license:apache-2.0",
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|
# dolphin-pt-v0.2
This model is a fine-tuned version of unsloth/mistral-7b-v0.2 on the adalbertojunior/dolphin_pt_test 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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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. -->
# german_to_english
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-de-en", "model-index": [{"name": "german_to_english", "results": []}]} | gouravsinha/german_to_english | null | [
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| german\_to\_english
===================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5712
* Bleu: 63.9999
* Gen Len: 7.0416
Model description
-----------------
More information needed
Intended uses & ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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: 2\n* mixed\\_prec... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingfac... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-132_EnronSpam_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-132_EnronSpam_n-its-10 | null | [
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|
# robust_llm_pythia-31m_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - ngoga/corgy_waste_LoRA
<Gallery />
## Model description
These are ngoga/corgy_waste_LoRA LoRA ... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | ngoga/corgy_waste_LoRA | null | [
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|
# SDXL LoRA DreamBooth - ngoga/corgy_waste_LoRA
<Gallery />
## Model description
These are ngoga/corgy_waste_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyo... | [
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null | transformers |
# Uploaded model
- **Developed by:** kevin009
- **License:** apache-2.0
- **Finetuned from model :** kevin009/flyingllama
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/im... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "kevin009/flyingllama"} | kevin009/flyingllama-v4 | null | [
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|
# Uploaded model
- Developed by: kevin009
- License: apache-2.0
- Finetuned from model : kevin009/flyingllama
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# Llama-3-8B-Summarization-QLoRa
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-ll... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["scitldr"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "Llama-3-8B-Summarization-QLoRa", "results": []}]} | pkbiswas/Llama-3-8B-Summarization-QLoRa | null | [
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"generated_from_trainer",
"dataset:scitldr",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
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] | null | 2024-04-25T21:18:43+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #dataset-scitldr #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
| Llama-3-8B-Summarization-QLoRa
==============================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the scitldr dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4051
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | transformers | # abacusai/Llama-3-Smaug-8B AWQ
- Model creator: [abacusai](https://huggingface.co/abacusai)
- Original model: [Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)
## Model Summary
... | {"license": "llama2", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "datasets": ["aqua_rat", "microsoft/orca-math-word-problems-200k", "m-a-p/CodeFeedback-Filtered-Instruction", "anon8231489123/ShareGPT_Vicuna_unfiltered"], "pipeline_tag": "... | solidrust/Llama-3-Smaug-8B-AWQ | null | [
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"dataset:anon8231489123/ShareG... | null | 2024-04-25T21:19:53+00:00 | [] | [] | TAGS
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- Model creator: abacusai
- Original model: Llama-3-Smaug-8B
!image/png
## Model Summary
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
meta-llama/Meta-Llama-3-8B.
- Developed by: Abacus.AI
- License: URL
- F... | [
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image-to-text | transformers |
## Model Details
### Model Description
This model is designed to convert chest X-ray images into text-based medical reports. It employs image recognition and natural language processing techniques to analyze the X-ray images and generate corresponding textual reports.
- *Language(s) (NLP):* English
- *Finetuned fr... | {"language": ["en"], "library_name": "transformers", "tags": ["text-generation-inference"], "datasets": ["Huthayfa/chest-xrays-indiana-university"], "pipeline_tag": "image-to-text"} | Huthayfa/Dr.DiagnostiX | null | [
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| Model Details
-------------
### Model Description
This model is designed to convert chest X-ray images into text-based medical reports. It employs image recognition and natural language processing techniques to analyze the X-ray images and generate corresponding textual reports.
* *Language(s) (NLP):* English
* *... | [
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text-generation | transformers |
# Model Card for Model ID
## Model Details
Fine tuned version of Llama3 8B. 4 bit quantized with Bits and Bytes. Fine tuned for 1 epoch for 58 hours on an Nvidia a5000.
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pus... | {"license": "mit", "library_name": "transformers", "datasets": ["mlabonne/orpo-dpo-mix-40k"]} | thesven/thesven-OrpoLlama-3-8B-bnb-4bit | null | [
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|
# Model Card for Model ID
## Model Details
Fine tuned version of Llama3 8B. 4 bit quantized with Bits and Bytes. Fine tuned for 1 epoch for 58 hours on an Nvidia a5000.
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically gen... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "microsoft/conditional-detr-resnet-50", "model-index": [{"name": "microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad", "results": []}]} | qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad | null | [
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<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the cppe-5 dataset.
## Model description
More information needed
## Intended uses & limit... | [
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text-generation | transformers |
# Dolphin 2.9 Llama 3 70b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations
Discord: https://discord.gg/8fbBeC7ZGx
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" w... | {"language": ["en"], "license": "llama3", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems-200k", "abacus... | LoneStriker/dolphin-2.9-llama3-70b-2.4bpw-h6-exl2 | null | [
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"dataset:cognitivecompu... | null | 2024-04-25T21:23:58+00:00 | [] | [
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# Dolphin 2.9 Llama 3 70b
Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations
Discord: URL
<img src="URL width="600" />
Our appreciation for the sponsors of Dolphin 2.9:
- Crusoe Cloud - provided excellent on-demand 8xH100 node
This m... | [
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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. -->
# my_HW6_model_bert
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_HW6_model_bert", "results": []}]} | Rachel08077/my_HW6_model_bert | null | [
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| my\_HW6\_model\_bert
====================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2150
* Accuracy: 0.9428
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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text-generation | transformers | # internistai/base-7b-v0.2 AWQ
- Model creator: [internistai](https://huggingface.co/internistai)
- Original model: [base-7b-v0.2](https://huggingface.co/internistai/base-7b-v0.2)
<img width=30% src="assets_logo.png" alt="logo" title="logo">
## Model Summary
Internist.ai 7b is a medical domain large language model ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "medical"], "datasets": ["Open-Orca/OpenOrca", "pubmed", "medmcqa", "maximegmd/medqa_alpaca_format"], "metrics": ["accuracy"], "base_model": "mistrala... | solidrust/internistai-base-7b-v0.2-AWQ | null | [
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"base_model:mistra... | null | 2024-04-25T21:25:40+00:00 | [] | [
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- Model creator: internistai
- Original model: base-7b-v0.2
<img width=30% src="assets_logo.png" alt="logo" title="logo">
## Model Summary
URL 7b is a medical domain large language model trained by medical doctors to demonstrate the benefits of a physician-in-the-loop approach. The tr... | [
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text-to-audio | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# musicgen-melody-lora-punk
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/music... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["text-to-audio", "ylacombe/tiny-punk", "generated_from_trainer"], "base_model": "facebook/musicgen-melody", "model-index": [{"name": "musicgen-melody-lora-punk", "results": []}]} | birgermoell/musicgen-melody-lora-punk | null | [
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"license:cc-by-nc-4.0",
"region:us"
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|
# musicgen-melody-lora-punk
This model is a fine-tuned version of facebook/musicgen-melody on the YLACOMBE/TINY-PUNK - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7288
- Clap: -0.0429
## Model description
More information needed
## Intended uses & limitations
More informa... | [
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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. -->
# distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb", "results": []}]} | Pragash-Mohanarajah/distilbert-base-uncased-finetuned-imdb | null | [
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| distilbert-base-uncased-finetuned-imdb
======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4894
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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: 3.0\n* mixed\\_pr... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learn... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | whiskeyriot/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T21:32:19+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-generation | transformers |
# Dolphin 2.9 Llama 3 70b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations
Discord: https://discord.gg/8fbBeC7ZGx
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" w... | {"language": ["en"], "license": "llama3", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems-200k", "abacus... | LoneStriker/dolphin-2.9-llama3-70b-3.0bpw-h6-exl2 | null | [
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"dataset:cognitivecompu... | null | 2024-04-25T21:33:38+00:00 | [] | [
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# Dolphin 2.9 Llama 3 70b
Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations
Discord: URL
<img src="URL width="600" />
Our appreciation for the sponsors of Dolphin 2.9:
- Crusoe Cloud - provided excellent on-demand 8xH100 node
This m... | [
"# Dolphin 2.9 Llama 3 70b \n\nCurated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations\n\nDiscord: URL\n\n<img src=\"URL width=\"600\" />\n\nOur appreciation for the sponsors of Dolphin 2.9:\n- Crusoe Cloud - provided excellent on-demand 8xH... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-3 | null | [
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"text-generation-inference",
"region:us"
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|
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
"# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-3\n\nThis model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informati... | [
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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. -->
# falcon-code-generation-llm
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/f... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "petals-team/falcon-rw-1b", "model-index": [{"name": "falcon-code-generation-llm", "results": []}]} | Katochh/falcon-code-generation-llm | null | [
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"base_model:petals-team/falcon-rw-1b",
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"region:us"
] | null | 2024-04-25T21:36:38+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-petals-team/falcon-rw-1b #license-apache-2.0 #region-us
| falcon-code-generation-llm
==========================
This model is a fine-tuned version of petals-team/falcon-rw-1b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8328
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | renwoshin/Meta-Llama-3-8B-Instruct-onnx-tf-fp16 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using tr... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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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": []} | stdevelopment/ST-CodeLlama-7b-Python-hf-v0.3.0 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T21:38:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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