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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": []} | wendy41/llama-2-koen-user0-100-nll | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="filodoxia/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": ... | filodoxia/q-FrozenLake-v1-4x4-noSlippery | null | [
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# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | transformers |
# Uploaded model
- **Developed by:** FreeeStorm
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | FreeeStorm/llama3-8b-oig-unsloth-merged | null | [
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|
# Uploaded model
- Developed by: FreeeStorm
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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": []} | Denis641/CodeGenEncoder | 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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null | transformers | # BioMed LLaMa-3 8B
Meta AI released the Llama-3 family of LLMs, composed of two models of the next generation of Llama, Meta Llama 3, available for broad use. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases.
Llama-3 is ... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["medical"]} | NouRed/BioMed-Tuned-Llama-3-8b | null | [
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| BioMed LLaMa-3 8B
=================
Meta AI released the Llama-3 family of LLMs, composed of two models of the next generation of Llama, Meta Llama 3, available for broad use. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use c... | [] | [
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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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"license": "apache-2.0", "tags": ["axolotl", "generated_from_trainer", "text-generation-inference"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model_type": "mistral", "pipeline_tag": "text-generation", "model-index": [{"name": "Mistral-7B-Banking", "results": []}]} | bitext-llm/Mistral-7B-Retail-Banking | null | [
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|
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## Model Details
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text-generation | transformers |
# NorskGPT-Llama-3-8b-v0.1
This model is a Norwegian variant of
Meta-Llama-3-8B, fine-tuned on a carefully selected mix of Norwegian instruction pairs. The model is tuned to understand and generate text in Norwegain.
## Intended Use
This model is free to use for personal and research use. However a commercial l... | {"language": [false], "license": "cc-by-nc-sa-4.0", "tags": ["llama", "NorskGPT", "instruct", "finetune"], "base_model": "meta-llama/Meta-Llama-3-8B"} | bineric/NorskGPT-Llama3-8b | null | [
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|
# NorskGPT-Llama-3-8b-v0.1
This model is a Norwegian variant of
Meta-Llama-3-8B, fine-tuned on a carefully selected mix of Norwegian instruction pairs. The model is tuned to understand and generate text in Norwegain.
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speaker-segmentation-fine-tuned-callhome-jpn
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingfa... | {"license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-callhome-jpn", "results": []}]} | kamilakesbi/speaker-segmentation-fine-tuned-callhome-jpn | null | [
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| speaker-segmentation-fine-tuned-callhome-jpn
============================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome jpn dataset.
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* Loss: 0.7433
* Der: 0.2234
* False Alarm: 0.0478
* Mis... | [
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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="filodoxia/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/- ... | filodoxia/Taxi-v3 | null | [
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#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 .
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sentence-similarity | sentence-transformers | ---
# gte-micro-v3
This is a distill of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny).
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete ([click here for demo](https://mihaiii.github.io/semantic-autocomplete/)).</span>
## Usage (Sentence-Transformers) (same ... | {"license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "gte", "mteb"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "gte-micro-test", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCo... | Mihaiii/gte-micro-v3 | null | [
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#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #gte #mteb #license-mit #model-index #endpoints_compatible #region-us
| ---
# gte-micro-v3
This is a distill of gte-tiny.
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete (click here for demo).</span>
## Usage (Sentence-Transformers) (same as gte-tiny)
Using this model becomes easy when you have sentence-transformers installed:
Th... | [
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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": []} | Denis641/mlm | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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#transformers #safetensors #codegen #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | relu-ntnu/bart-large-cnn_v4_trained_on_500_lr_5e-5_r8_a16_all_layers | 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]:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "results", "results": []}]} | imvbhuvan/results | null | [
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#peft #tensorboard #safetensors #mistral #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
|
# results
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
Th... | [
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text-generation | transformers |
big thanks to lore for the 8xH100 gpus
## training
base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 8k context for 2 epochs each
## gen settings
i would **start with** every sampler off and **temperature at 1 and just make min p 0.05**, i got good prompts from th... | {"datasets": ["PygmalionAI/PIPPA", "lemonilia/LimaRP"]} | ludis/tsukasa-llama-3-70b-qlora | null | [
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"safetensors",
"llama",
"text-generation",
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"dataset:PygmalionAI/PIPPA",
"dataset:lemonilia/LimaRP",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T11:20:31+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #dataset-PygmalionAI/PIPPA #dataset-lemonilia/LimaRP #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
big thanks to lore for the 8xH100 gpus
## training
base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 8k context for 2 epochs each
## gen settings
i would start with every sampler off and temperature at 1 and just make min p 0.05, i got good prompts from this but u... | [
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text-generation | transformers |
# LLama 3 8B SQL
- **Developed by:** MatrixIA
- **License:** apache-2.0
- **usecase:** generating sql from natural language (en)
- **dataset:** 390k+ rows of question+context+sql | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["OneGate/OGText2SQL"]} | MatrixIA/LLama-3-8B-SQL | null | [
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# LLama 3 8B SQL
- Developed by: MatrixIA
- License: apache-2.0
- usecase: generating sql from natural language (en)
- dataset: 390k+ rows of question+context+sql | [
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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/Meta-Llama-3-8B-GGUF-smashed | null | [
"gguf",
"pruna-ai",
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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 meta-llama/Meta-Llama-3-8B 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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text-generation | transformers |
big thanks to lore for the 8xH100 gpus
## awq
zero point, 128 group size, 4 bit gemm
## training
base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 8k context for 2 epochs each
## gen settings
i would **start with** every sampler off and **temperature at 1 and ju... | {"datasets": ["PygmalionAI/PIPPA", "lemonilia/LimaRP"]} | ludis/tsukasa-llama-3-70b-qlora-awq | null | [
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|
big thanks to lore for the 8xH100 gpus
## awq
zero point, 128 group size, 4 bit gemm
## training
base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 8k context for 2 epochs each
## gen settings
i would start with every sampler off and temperature at 1 and just mak... | [
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null | transformers | ## About
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static quants of https://huggingface.co/ewof/koishi-8x7b-qlora
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/koishi-8x7b-qlora-... | {"language": ["en"], "library_name": "transformers", "datasets": ["ewof/koishi-instruct-metharme"], "base_model": "ewof/koishi-8x7b-qlora", "quantized_by": "mradermacher"} | mradermacher/koishi-8x7b-qlora-GGUF | null | [
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static quants of URL
weighted/imatrix quants are available at URL
Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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more details, including on how to concatenate multi-part files.
Provided Quants
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automatic-speech-recognition | 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": []} | Mihaj/wav2vec2-large-uralic-voxpopuli-v2-karelian-CodeSwitching | null | [
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
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8b, ... | {"license": "apache-2.0"} | Quant-Cartel/WizardLM-2-8x22B-exl2-rpcal | null | [
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T11:25:43+00:00 | [
"2304.12244",
"2306.08568",
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#arxiv-2304.12244 #arxiv-2306.08568 #arxiv-2308.09583 #license-apache-2.0 #region-us
|
# WizardLM-2-8x22B-exl2-rpcal
Quantized using 200 samples of 8192 tokens from an RP-oriented PIPPA dataset.
Branches:
- 'main' -- 'URL'
- '4.5b6h' -- 4.5bpw, 6bit lm_head
- '4b6h' -- 4bpw, 6bit lm_head
- '3.5b6h' -- 3.5bpw, 6bit lm_head
- '2.5b6h' -- 2.5bpw, 6bit lm_head
Original model link: (reuploaded, original ... | [
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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": []} | ABHISHEKMONU2001/llama3_8b_finetunning_22_April | null | [
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
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text-generation | transformers |
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# Uploaded model
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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text-to-image | diffusers |
# Model Card for Model ID
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### Model Description
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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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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/mlinmg/SG-Raccoon-Yi-55B-200k
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weighted/imatrix quants of URL
static quants are available at URL
Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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": []} | tomaszki/llama-6-a | null | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials
Reference: R. Luu and M.J. Buehler, "BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials," Adv. Science, 2023, DOI: https://doi.org/10.1002/advs.2... | {"language": ["en"], "tags": ["biology", "materials science", "code", "scientific AI", "biological materials", "bioinspiration", "machine learning", "generative"]} | lamm-mit/BioinspiredLlama-3-8B | null | [
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|
# BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials
Reference: R. Luu and M.J. Buehler, "BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials," Adv. Science, 2023, DOI: URL
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null | transformers |
# Whisper small adapters model for Greek transcription
We added adapters to whisper-small model then we finetuned it on Greek ASR. During training, the model is frozen and only the adapters are being trained. When trying to
transcribe Greek, we need to activate the adapters, otherwise we can ignore the adapters and u... | {"language": ["el"], "license": "apache-2.0", "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"]} | voxreality/whisper-small-el-adapters | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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 generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-cnn_v4_trained_on_1000_lr_5e-5_r8_a16_all_layers | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model-v2-2024-04-22
This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlm... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "model-v2-2024-04-22", "results": []}]} | ineoApp/model-v2-2024-04-22 | null | [
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| model-v2-2024-04-22
===================
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7650
* Precision: 0.7666
* Recall: 0.7514
* F1: 0.7589
* Accuracy: 0.8762
Model description
-----------------
More in... | [
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automatic-speech-recognition | transformers |
# Model Description
Provide your detailed description here...
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | Narednra/LLMQandAtinylalma2 | null | [
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#peft #safetensors #llama #region-us
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- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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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. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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": []} | wendy41/llama-2-koen-user111-100-nll | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | voidful/recurrentgemma-2b-base | 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 | 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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# Model Card for Model ID
## Model Details
### Model Description
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | hikikomoriHaven/llama3-8b-hikikomori-v0.1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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fill-mask | 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": []} | maharengarajan/dummy-model | 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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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-in21k-dogs-cats2
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingf... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-base-patch16-224-in21k-dogs-cats2", "results": []}]} | Omriy123/vit-base-patch16-224-in21k-dogs-cats2 | null | [
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| vit-base-patch16-224-in21k-dogs-cats2
=====================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Dogs\_vs\_Cats dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0111
* Accuracy: 0.9968
Model description
-----------------
More i... | [
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [LeroyD... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LeroyDyer/Mixtral_AI_Minitron_2b_2.0", "LeroyDyer/Mixtral_AI_Minitron_2b_Base", "LeroyDyer/Mini_Merge_Greeting", "LeroyDyer/Mixtral_AI_Minitron_2b_1.0", "LeroyDyer/Mixtral_AI_Minitron_2b_2m", "LeroyDyer/Mini_Merge_Dolphin"]} | LeroyDyer/Mixtral_AI_Minitron_2b_BaseModel | null | [
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"base_model:LeroyDyer/Mixtr... | null | 2024-04-22T12:12:34+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
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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": ["unsloth"]} | Srimouli04/llama3_ft_lora_model | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Classifier_with_external_sets_03
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/micro... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-large", "model-index": [{"name": "Classifier_with_external_sets_03", "results": []}]} | Tensorride/Classifier_with_external_sets_03 | null | [
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| Classifier\_with\_external\_sets\_03
====================================
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6931
* Accuracy: 0.5034
Model description
-----------------
More information needed
... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning2
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_1_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "finetuning2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "... | Aviral2412/finetuning2 | null | [
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| finetuning2
===========
This model is a fine-tuned version of facebook/wav2vec2-base on the common\_voice\_1\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6883
* Wer: 0.4214
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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null | transformers |
# Uploaded model
- **Developed by:** ogdanneedham
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | ogdanneedham/mistral-gs-0.6-lora | null | [
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# Uploaded model
- Developed by: ogdanneedham
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | himum/sn6_5l3 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | weege007/OrpoLlama-3-8B-chat-cn | null | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | AlbertG3/BankStockEmbed | null | [
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text-generation | transformers |
# llama3-8B-lima
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
SFT with 64bits/lima_vicuna_format. 3 epoch qlora. Code under [https://huggingface.... | {"license": "apache-2.0", "datasets": ["64bits/lima_vicuna_format"]} | HenryJJ/llama3-8B-lima | null | [
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# llama3-8B-lima
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
SFT with 64bits/lima_vicuna_format. 3 epoch qlora. Code under URL
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sentence-similarity | sentence-transformers | # gte-micro-v4
This is a distill of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny).
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete ([click here for demo](https://mihaiii.github.io/semantic-autocomplete/)).</span>
## Usage (Sentence-Transformers) (same as [... | {"license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "gte", "mteb"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "gte-micro-v4", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCoun... | Mihaiii/gte-micro-v4 | null | [
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| # gte-micro-v4
This is a distill of gte-tiny.
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete (click here for demo).</span>
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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": []} | sataayu/molt5-augmented-contrastive-0-small-smiles-encoder | null | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers | Model is finetuned from UltraChat version of Gemma-7b (CorticalStack/gemma-7b-ultrachat-sft) and is finetuned on 9 Indian languages (Hindi, Tamil, Punjabi, Bengali, Gujarati, Oriya, Telugu, Kannada, Malayalam) plus English.
The model is trained on close sourced GenZ_Vikas dataset, created entirely by university studen... | {"license": "mit"} | GenVRadmin/AryaBhatta-GemmaGenZ-Vikas-Merged | null | [
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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"]} | Kommunarus/ppo-Pyramids | null | [
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|
# 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:
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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. -->
# bertweet-large-sexism-detector
This model is a fine-tuned version of [NLP-LTU/bertweet-large-sexism-detector](https://huggingfac... | {"tags": ["generated_from_trainer"], "base_model": "NLP-LTU/bertweet-large-sexism-detector", "model-index": [{"name": "bertweet-large-sexism-detector", "results": []}]} | dtorber/bertweet-large-sexism-detector | null | [
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| bertweet-large-sexism-detector
==============================
This model is a fine-tuned version of NLP-LTU/bertweet-large-sexism-detector on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9648
* Icm: 0.2479
* Icmnorm: 0.6258
* Fmeasure: 0.7526
Model description
-------------... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/MaziyarPanahi/Goku-8x22B-v0.2
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static quants are available at https://huggingface.co/mradermacher/Goku-8x22B-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "mixtral", "sharegpt", "axolotl"], "datasets": ["MaziyarPanahi/WizardLM_evol_instruct_V2_196k", "microsoft/orca-math-word-problems-200k", "teknium/OpenHermes-2.5"], "model_name": "Goku-8x22B-v0.2", "base_model": "MaziyarPanahi... | mradermacher/Goku-8x22B-v0.2-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
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null | 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. -->
# PolizzeDonut-UltimaProvaCluster-Cluster2di4-5epochs-Resol918x1286
This model is a fine-tuned version of [naver-clova-ix/donut-ba... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-UltimaProvaCluster-Cluster2di4-5epochs-Resol918x1286", "results": []}]} | tedad09/PolizzeDonut-UltimaProvaCluster-Cluster2di4-5epochs-Resol918x1286 | null | [
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|
# PolizzeDonut-UltimaProvaCluster-Cluster2di4-5epochs-Resol918x1286
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information 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. -->
# ru_sentiment_classification_model
This model is a fine-tuned version of [r1char9/rubert-base-cased-russian-sentiment](https://hu... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "r1char9/rubert-base-cased-russian-sentiment", "model-index": [{"name": "ru_sentiment_classification_model", "results": []}]} | annavtkn/ru_sentiment_classification_model | null | [
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| ru\_sentiment\_classification\_model
====================================
This model is a fine-tuned version of r1char9/rubert-base-cased-russian-sentiment on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6368
* Accuracy: 0.8875
* Precision: 0.8990
* Recall: 0.8875
* F1: 0.8... | [
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image-feature-extraction | timm |
# Model card for gaunernst/vit_tiny_patch8_112.arcface_ms1mv3
A Vision Transformer (ViT) for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: https://github.com/gau-nernst/timm-face. It is fully compatible with `timm`.
## Usage
```python
import timm
import torch.nn.functional as F... | {"library_name": "timm", "tags": ["image-feature-extraction", "timm"], "datasets": ["gaunernst/ms1mv3-recordio"]} | gaunernst/vit_tiny_patch8_112.arcface_ms1mv3 | null | [
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|
# Model card for gaunernst/vit_tiny_patch8_112.arcface_ms1mv3
A Vision Transformer (ViT) for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: URL It is fully compatible with 'timm'.
## Usage
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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": []} | CMU-AIR2/math-deepseek-FULL-ArithHard-MixedMWP | null | [
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null | peft |
# Model Card for Model ID
#### Model Type: Exllamav2 4bit
## Description
Model finetuned for five epochs on the Lasserino/AIChess dataset.
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. . k . . . . r
p p . b . ... | {"library_name": "peft", "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Lasserino/AIChess-8B-5DE-EXL2 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta-base", "results": []}]} | dtorber/roberta-base | null | [
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| roberta-base
============
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: 1.3745
* Icm: -0.0196
* Icmnorm: 0.4901
* Fmeasure: 0.6565
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers | # jeiku/Chaos_RP_l3_8B AWQ
- Model creator: [jeiku](https://huggingface.co/jeiku)
- Original model: [Chaos_RP_l3_8B](https://huggingface.co/jeiku/Chaos_RP_l3_8B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example Python code
```python
from awq ... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Chaos_RP_l3_8B-AWQ | null | [
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| # jeiku/Chaos_RP_l3_8B AWQ
- Model creator: jeiku
- Original model: Chaos_RP_l3_8B
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### Example Python code
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "openai/whisper-base"} | ygaci/whisper-base-fr_common_voice_16_new_2 | null | [
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### Model Sources [optional]
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text-generation | transformers | # nbeerbower/llama-3-aura-bophades-8B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [llama-3-aura-bophades-8B](https://huggingface.co/nbeerbower/llama-3-aura-bophades-8B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/llama-3-aura-bophades-8B-AWQ | null | [
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#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # nbeerbower/llama-3-aura-bophades-8B AWQ
- Model creator: nbeerbower
- Original model: llama-3-aura-bophades-8B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bi... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Dejauxvue/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc65 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T14:10:34+00:00 | [
"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# Uploaded model
- **Developed by:** Srimouli04
- **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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Srimouli04/llama3_16bit_ft | null | [
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|
# Uploaded model
- Developed by: Srimouli04
- 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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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. -->
# detr-resnet-50-finetuned-10k-cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebo... | {"license": "apache-2.0", "tags": ["object-detection", "vision"], "datasets": ["cppe-5"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50-finetuned-10k-cppe5-no-trainer", "results": []}]} | qubvel-hf/detr-resnet-50-finetuned-10k-cppe5-no-trainer | null | [
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|
# detr-resnet-50-finetuned-10k-cppe5
This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9865
- Map: 0.3192
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- Map 75: 0.3039
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- Mar 1: 0.294... | [
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null | null | # RWKV-x060-Japanese-2.0B
## RWKV Architecture "Finch" based 2.0B Parameters Model.
トレーニング中です。実験なので性能評価はしていません。
- "HANAKO"
- Based on RWKV6-World v2.1 1.6b, we have applied a layer expansion approach and tuned it as a 32-layer, 2048-dimensional model.
- I added 8 layers to the 24-layer model, froze layers 0... | {} | OpenMOSE/RWKV-x060-Japanese-2.0B | null | [
"region:us"
] | null | 2024-04-22T14:13:43+00:00 | [] | [] | TAGS
#region-us
| # RWKV-x060-Japanese-2.0B
## RWKV Architecture "Finch" based 2.0B Parameters Model.
トレーニング中です。実験なので性能評価はしていません。
- "HANAKO"
- Based on RWKV6-World v2.1 1.6b, we have applied a layer expansion approach and tuned it as a 32-layer, 2048-dimensional model.
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [LeroyD... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LeroyDyer/Mini_Merge_RolePlay", "LeroyDyer/Mixtral_AI_Minitron_2b_Base", "LeroyDyer/Mini_Merge_Greeting", "LeroyDyer/Mini_Merge_StoryWriter"]} | LeroyDyer/Mixtral_AI_Minitron_2b_Creative | 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 merge method.
### Models Merged
The following models were included in the merge:
* LeroyDyer/Mini_Merge_RolePlay
* LeroyDyer/Mixtral_AI_Minitron_2b_Base
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Resi/layoutlmv3-sagemaker | 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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- Shared by [optional]:
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text2text-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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [LeroyD... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LeroyDyer/Mixtral_AI_Minitron_2b_Base", "LeroyDyer/Mini_Merge_Dictionary", "LeroyDyer/Mini_Merge_Verbictionary", "LeroyDyer/Mini_Merge_Greeting"], "pipeline_tag": "text2text-generation"} | LeroyDyer/Mixtral_AI_Minitron_2b_DictionaryTool | null | [
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"base_model:LeroyDyer... | null | 2024-04-22T14:17:23+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* LeroyDyer/Mixtral_AI_Minitron_2b_Base
* LeroyDyer/Mini_Merge_Dictionary
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null | null | ERROR: type should be string, got "\nhttps://github.com/OpenMotionLab/MotionGPT\n\nhttps://github.com/fyyakaxyy/animationGPT" | {"license": "mit"} | Kijai/AnimationGPT_pruned | null | [
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automatic-speech-recognition | 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": []} | JustAFool/wav2vec2-vi-300-2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/6-231 | null | [
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null | peft |
# tinyllama-mixpretrain-uniprottune
This is an adapter of the [monsoon-nlp/tinyllama-mixpretrain-quinoa-sciphi](https://huggingface.co/monsoon-nlp/tinyllama-mixpretrain-quinoa-sciphi)
model on the GreenBeing dataset finetuning split (minus maize/corn/*Zea*, which I left for evaluation).
## Usage
```
from peft impo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["monsoon-nlp/greenbeing-proteins"], "base_model": "monsoon-nlp/tinyllama-mixpretrain-quinoa-sciphi", "model-index": [{"name": "tinyllama-mixpretrain-uniprottune", "results": []}]} | monsoon-nlp/tinyllama-mixpretrain-uniprottune | null | [
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|
# tinyllama-mixpretrain-uniprottune
This is an adapter of the monsoon-nlp/tinyllama-mixpretrain-quinoa-sciphi
model on the GreenBeing dataset finetuning split (minus maize/corn/*Zea*, which I left for evaluation).
## Usage
Inference Notebook: URL
It seems unreliable on the *Zea* proteins. Getting a lot of the s... | [
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null | transformers |
# Uploaded model
- **Developed by:** Srimouli04
- **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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Srimouli04/llama3_lora_adapters | null | [
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# Uploaded model
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- License: apache-2.0
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text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [nbeerbower/bophades-mistral-math-DPO-7B](https://huggingface.co/nbeerbower/bophades-mistral-math-DPO-7B)
## Usage
To use the model with the `transformers` library on a machine with GPUs, fir... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | borggAI/alpha-model-1-22042024 | null | [
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This model was trained using H2O LLM Studio.
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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": []} | Likich/mistral-finetune-qualcoding | null | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | UXAIR/ppo-SnowballTarget | null | [
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# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
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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-medium-finetuned-finetuned
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/w... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-finetuned-finetuned", "results": []}]} | KevinKibe/whisper-medium-finetuned-finetuned | null | [
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|
# whisper-medium-finetuned-finetuned
This model is a fine-tuned version of openai/whisper-medium on the common_voice_16_1 dataset.
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- eval_loss: 1.3972
- eval_wer: 48.3444
- eval_runtime: 33.9313
- eval_samples_per_second: 0.855
- eval_steps_per_second: 0.029
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | DavidVarona/pelotas | null | [
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|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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|
# 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 |
# Ransss/L3-TheSpice-8b-v0.1.3-Q8_0-GGUF
This model was converted to GGUF format from [`cgato/L3-TheSpice-8b-v0.1.3`](https://huggingface.co/cgato/L3-TheSpice-8b-v0.1.3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Ransss/L3-TheSpice-8b-v0.1.3-Q8_0-GGUF | null | [
"gguf",
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"gguf-my-repo",
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"region:us"
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#gguf #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us
|
# Ransss/L3-TheSpice-8b-v0.1.3-Q8_0-GGUF
This model was converted to GGUF format from 'cgato/L3-TheSpice-8b-v0.1.3' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** martyyz
- **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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | martyyz/llama3-8b-mart-unsloth-merged | null | [
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|
# Uploaded model
- Developed by: martyyz
- 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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text-generation | transformers | # nbeerbower/llama-3-bophades-v2-8B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [llama-3-bophades-v2-8B](https://huggingface.co/nbeerbower/llama-3-bophades-v2-8B)
# Model Summary
... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/llama-3-bophades-v2-8B-AWQ | null | [
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| # nbeerbower/llama-3-bophades-v2-8B AWQ
- Model creator: nbeerbower
- Original model: llama-3-bophades-v2-8B
!image/png
# Model Summary
This model is based on Llama-3-8b, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
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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. -->
# mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-smal... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-small-finetuned-amazon-en-es", "results": []}]} | phuongntc/mt5-small-finetuned-amazon-en-es | null | [
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| mt5-small-finetuned-amazon-en-es
================================
This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9244
* Rouge1: 0.5412
* Rouge2: 0.3832
* Rougel: 0.4817
* Rougelsum: 0.4830
Model description
-----------... | [
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text-generation | transformers | # Sao10K/L3-Solana-8B-v1 AWQ
- Model creator: [Sao10K](https://huggingface.co/Sao10K)
- Original model: [L3-Solana-8B-v1](https://huggingface.co/Sao10K/L3-Solana-8B-v1)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example Python code
```python
fr... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/L3-Solana-8B-v1-AWQ | null | [
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| # Sao10K/L3-Solana-8B-v1 AWQ
- Model creator: Sao10K
- Original model: L3-Solana-8B-v1
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared t... | [
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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": []} | TTTTao725/molt5-augmented-contrastive-0-small-smiles-encoder | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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": []} | TTTTao725/molt5-augmented-contrastive-0-small-caption-encoder | null | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | osrojo/weather | null | [
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|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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1. Fill out this model card with more information (see the template below and the documentation here)!
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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": []} | relu-ntnu/bart-large-cnn_v4_trained_on_1500_lr_5e-5_r8_a16_all_layers | null | [
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|
# Model Card for Model ID
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