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text-generation | transformers |
# miqu-evil-dpo
# **Model Details**
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
<!-- prompt-template start -->
## Prompt template: Mistral Inst
```
<s> [INST] {inst} [... | {"language": ["en"], "license": "other", "tags": ["not-for-all-audiences"], "license_name": "miqu-license", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | blockblockblock/miqu-evil-dpo-bpw2.25-exl2 | null | [
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#transformers #safetensors #llama #text-generation #not-for-all-audiences #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# miqu-evil-dpo
# Model Details
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
!image/png
## Prompt template: Mistral Inst
## Disclaimer
The AI model provided herein is intended for experimental... | [
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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. -->
# hc-train-v3-independent-v2
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["honzapucalek/hc_train_v3_independent_v2"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "hc-train-v3-independent-v2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Spee... | honzapucalek/hc-train-v3-independent-v2 | null | [
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"base_model:openai/whisper-large-v3",
"license:apache-2.0",
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| hc-train-v3-independent-v2
==========================
This model is a fine-tuned version of openai/whisper-large-v3 on the honzapucalek/hc\_train\_v3\_independent\_v2 cs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3728
* Wer: 0.1169
Model description
-----------------
More inform... | [
"### 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: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | null |
# sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test-Q8_0-GGUF
This model was converted to GGUF format from [`sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test`](https://huggingface.co/sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/gg... | {"license": "other", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "beomi/Llama-3-Open-Ko-8B", "model-index": [{"name": "beomi-llama3-8b-64k", "results": []}]} | sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test-Q8_0-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:beomi/Llama-3-Open-Ko-8B",
"license:other",
"region:us"
] | null | 2024-04-26T09:03:02+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-beomi/Llama-3-Open-Ko-8B #license-other #region-us
|
# sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test-Q8_0-GGUF
This model was converted to GGUF format from 'sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test' 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.
Invok... | [
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null | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/code_instructions_122k_alpaca_style_lora_model | null | [
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"llama",
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T09:05:04+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: dbands
- 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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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"]} | lightyip/ppo-Pyramids | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-26T09:05:22+00:00 | [] | [] | TAGS
#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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"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n# 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\... |
text-generation | transformers |
# tulu-2-dpo-7b-ExPO
The extrapolated (ExPO) model based on `allenai/tulu-2-dpo-7b` and `allenai/tulu-2-7b`, as in the "[Weak-to-Strong Extrapolation Expedites Alignment](https://arxiv.org/abs/2404.16792)" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints... | {"language": ["en"], "license": "other", "license_name": "ai2-impact-license-low-risk", "license_link": "https://allenai.org/impact-license"} | chujiezheng/tulu-2-dpo-7b-ExPO | null | [
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"text-generation",
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"en",
"arxiv:2404.16792",
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-26T09:05:53+00:00 | [
"2404.16792"
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#transformers #safetensors #llama #text-generation #conversational #en #arxiv-2404.16792 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# tulu-2-dpo-7b-ExPO
The extrapolated (ExPO) model based on 'allenai/tulu-2-dpo-7b' and 'allenai/tulu-2-7b', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achieving superior alignment with ... | [
"# tulu-2-dpo-7b-ExPO\n\nThe extrapolated (ExPO) model based on 'allenai/tulu-2-dpo-7b' and 'allenai/tulu-2-7b', as in the \"Weak-to-Strong Extrapolation Expedites Alignment\" paper.\n\nSpecifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achieving superior align... | [
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"# tulu-2-dpo-7b-ExPO\n\nThe extrapolated (ExPO) model based on 'allenai/tulu-2-dpo-7b' and 'allenai/tulu-2-7b', as ... | [
53,
106
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #en #arxiv-2404.16792 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# tulu-2-dpo-7b-ExPO\n\nThe extrapolated (ExPO) model based on 'allenai/tulu-2-dpo-7b' and 'allenai/tulu-2-7b', as in the... |
text-generation | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-instruct_code_instructions_122k_alpaca_style_16bit | null | [
"transformers",
"safetensors",
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"text-generation",
"text-generation-inference",
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"sft",
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T09:07:19+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: dbands
- 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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] | [
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text-generation | null |
# OpenBioLLM-Llama3-70B-GGUF
- This is GGUF quantized version of [OpenBioLLM-Llama3-70B](https://huggingface.co/aaditya/OpenBioLLM-Llama3-70B)
| {"language": ["en"], "tags": ["llama-3"], "pipeline_tag": "text-generation", "base_model": "aaditya/OpenBioLLM-Llama3-70B"} | chenhaodev/OpenBioLLM-Llama3-70B-GGUF | null | [
"gguf",
"llama-3",
"text-generation",
"en",
"base_model:aaditya/OpenBioLLM-Llama3-70B",
"region:us"
] | null | 2024-04-26T09:09:14+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-3 #text-generation #en #base_model-aaditya/OpenBioLLM-Llama3-70B #region-us
|
# OpenBioLLM-Llama3-70B-GGUF
- This is GGUF quantized version of OpenBioLLM-Llama3-70B
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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="Epoching/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | Epoching/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-26T09:09:26+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
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. -->
# ptdltm-aes-2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It a... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "ptdltm-aes-2", "results": []}]} | hoanghoavienvo/ptdltm-aes-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T09:09:32+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| ptdltm-aes-2
============
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8711
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information neede... | [
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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-70m_mz-131f_PasswordMatch
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-131f_PasswordMatch", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-131f_PasswordMatch | null | [
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|
# robust_llm_pythia-70m_mz-131f_PasswordMatch
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-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. -->
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text2text-generation | transformers |
# mT5-XL Detoxification Baseline
This is a baseline detoxification model trained on released parallel corpus (dev part) of toxic texts [MultiParadetox](https://huggingface.co/datasets/textdetox/multilingual_paradetox)
## Model Details
The base model for this fine-tune is [mT5-xl](https://huggingface.co/google/mt5-... | {"language": ["en", "ar", "am", "zh", "uk", "hi", "es", "ru", "de"], "license": "mit", "library_name": "transformers", "tags": ["detoxification", "style_transfer"], "datasets": ["textdetox/multilingual_paradetox"], "metrics": ["chrf"], "pipeline_tag": "text2text-generation"} | textdetox/mt5-xl-detox-baseline | null | [
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|
# mT5-XL Detoxification Baseline
This is a baseline detoxification model trained on released parallel corpus (dev part) of toxic texts MultiParadetox
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text-generation | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-instruct_code_instructions_122k_alpaca_style_4bit | 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. -->
# group2_non_all_zero
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "group2_non_all_zero", "results": []}]} | anismahmahi/group2_non_all_zero | null | [
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| group2\_non\_all\_zero
======================
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3325
* Precision: 0.0395
* Recall: 0.182
* F1: 0.0649
* Accuracy: 0.8597
Model description
-----------------
Mor... | [
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null | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
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null | transformers |
# Uploaded model
- **Developed by:** baconnier
- **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/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | baconnier/finance_orpo_llama3_Instruct_8B_r64_51K_GGUF | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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token-classification | transformers | # Model Card for Model ID
base_model : [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
hidden_size : 768
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text-generation | null | # [MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-D... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-70B-Instruct-DPO-v0.1-GGUF", "base_model": "MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1", "inference": false, "model_creator": "MaziyarPanahi", "pipeline... | MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF | null | [
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"region:us"
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| # MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1
## Description
MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1.
IMPORTANT: There is no need ... | [
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"## Description\nMaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1.\n\nIMPORTANT: The... | [
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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": []} | chiangcw/OrpoLlama-3-8B | null | [
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"1910.09700"
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#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:
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- Shared by [optional]:
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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": []} | himanshubeniwal/mbart-large-50-finetuned-kk-to-en-idiot-Indian | 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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token-classification | transformers | # Model Card for Model ID
base_model : [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased)
hidden_size : 1024
max_position_embeddings : 512
num_attention_heads : 16
num_hidden_layers : 24
vocab_size : 30522
# Basic usage
```python
from transformers import AutoTokenizer, AutoM... | {"language": ["en"], "tags": ["BERT"], "datasets": ["pubmed"]} | MDDDDR/bert_large_uncased_NER | null | [
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| # Model Card for Model ID
base_model : google-bert/bert-large-uncased
hidden_size : 1024
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num_attention_heads : 16
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vocab_size : 30522
# Basic usage
## Framework versions
- transformers : 4.39.1
- torch : 2.1.0+cu121
- datasets : 2.18.0
- tokenizers : 0.15.2
... | [
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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": []} | avemio-digital/dpo_model_3 | 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:
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- Shared by [optional]:
- Model type:
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null | null |
# Fadikkop/TinyLlama-1.1B-Chat-v1.0-german-Q4_K_M-GGUF
This model was converted to GGUF format from [`mayflowergmbh/TinyLlama-1.1B-Chat-v1.0-german`](https://huggingface.co/mayflowergmbh/TinyLlama-1.1B-Chat-v1.0-german) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-rep... | {"language": ["de"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["FreedomIntelligence/evol-instruct-deutsch", "FreedomIntelligence/alpaca-gpt4-deutsch"]} | Fadikkop/TinyLlama-1.1B-Chat-v1.0-german-Q4_K_M-GGUF | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-26T09:35:03+00:00 | [] | [
"de"
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|
# Fadikkop/TinyLlama-1.1B-Chat-v1.0-german-Q4_K_M-GGUF
This model was converted to GGUF format from 'mayflowergmbh/TinyLlama-1.1B-Chat-v1.0-german' 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 ser... | [
"# Fadikkop/TinyLlama-1.1B-Chat-v1.0-german-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'mayflowergmbh/TinyLlama-1.1B-Chat-v1.0-german' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | 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": []} | jsingh/autoflow-math-v0.1 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T09:35:14+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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | ILFrozenY/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2193
* Accuracy: 0.9285
* F1: 0.9286
Model description
-----------------
Mo... | [
"### 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: 2",
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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"]} | andreaostuni/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-26T09:40:07+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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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# 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 wrot... |
text-generation | transformers | ## AIGCodeGeek-DS-6.7B
### Introduction
AIGCodeGeek-DS-6.7B is our first released version of a Code-LLM family with competitive performance on public and private benchmarks.
### Model Details
#### Model Description
- Developed by: [Leon Li](https://huggingface.co/Leon-Leee)
- License: [DeepSeek](https://github.com/de... | {"license": "other", "library_name": "transformers", "tags": ["code"], "datasets": ["Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped", "m-a-p/Code-Feedback", "openbmb/UltraInteract_sft", "ise-uiuc/Magicoder-Evol-Instruct-110K", "flytech/python-codes-25k"], "metrics": ["code_eval"], "pipeline_tag": "text-generation", ... | aigcode/AIGCodeGeek-DS-6.7B | null | [
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"text-generation",
"code",
"conversational",
"dataset:Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped",
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"dataset:openbmb/UltraInteract_sft",
"dataset:ise-uiuc/Magicoder-Evol-Instruct-110K",
"dataset:flytech/python-codes-25k... | null | 2024-04-26T09:40:07+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #code #conversational #dataset-Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped #dataset-m-a-p/Code-Feedback #dataset-openbmb/UltraInteract_sft #dataset-ise-uiuc/Magicoder-Evol-Instruct-110K #dataset-flytech/python-codes-25k #license-other #autotrain_compatible #... | ## AIGCodeGeek-DS-6.7B
### Introduction
AIGCodeGeek-DS-6.7B is our first released version of a Code-LLM family with competitive performance on public and private benchmarks.
### Model Details
#### Model Description
- Developed by: Leon Li
- License: DeepSeek
- Fine-tuned from deepseek-ai/deepseek-coder-6.7b-base with... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MoaData/Myrrh_solar_10.7b_3.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "MoaData/Myrrh_solar_10.7b_3.0", "quantized_by": "mradermacher"} | mradermacher/Myrrh_solar_10.7b_3.0-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-MoaData/Myrrh_solar_10.7b_3.0 #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 |
# Uploaded model
- **Developed by:** baconnier
- **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/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | baconnier/finance_orpo_llama3_Instruct_8B_r64_51K | null | [
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|
# Uploaded model
- Developed by: baconnier
- 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.
<img src="URL width="200"/>
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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": []} | suke0327/whisper-large_front_de | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T09:43:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #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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text-generation | transformers |
## Model Summary
The Phi-3-Mini-128K-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets.
This dataset includes both synthetic data and filtered publicly available website data, with an emphasis on high-quality and reasoning-dense properties.
The model belong... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | TommyZQ/phi-3 | null | [
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| Model Summary
-------------
The Phi-3-Mini-128K-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets.
This dataset includes both synthetic data and filtered publicly available website data, with an emphasis on high-quality and reasoning-dense properties.
The m... | [
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-base-finetuned-xsum
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["xsum"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "pipeline_tag": "summarization", "model-index": [{"name": "bart-base-finetuned-xsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language... | Vexemous/bart-base-finetuned-xsum | null | [
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| bart-base-finetuned-xsum
========================
This model is a fine-tuned version of facebook/bart-base on the xsum dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9356
* Rouge1: 35.8214
* Rouge2: 14.7565
* Rougel: 29.4566
* Rougelsum: 29.4496
* Gen Len: 19.562
Model description
---... | [
"### 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: 5\n* mixed\\_prec... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TroyDoesAI/Mermaid-Llama-3-3B-Pruned
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do... | {"language": ["en"], "library_name": "transformers", "base_model": "TroyDoesAI/Mermaid-Llama-3-3B-Pruned", "quantized_by": "mradermacher"} | mradermacher/Mermaid-Llama-3-3B-Pruned-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-TroyDoesAI/Mermaid-Llama-3-3B-Pruned #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 | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | Gssmc/shawgpt-ft | null | [
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"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T09:47:37+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5705
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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"]} | raulgadea/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-26T09:49:44+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... | [
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null | transformers |
# Uploaded model
- **Developed by:** codejay2023
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | codejay2023/model | null | [
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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|
# Uploaded model
- Developed by: codejay2023
- 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 |
<!-- 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. -->
# kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-1epoch-capybara-2epoch
This model is a fine-tuned version of [orpo-explorers/ka... | {"tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer", "trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/Capybara-Preferences"], "base_model": "orpo-explorers/kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-1epoch", "model-index": [{"name": "kaist-mistral-orpo-OHP-15k-Stratified-1-beta-... | orpo-explorers/kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-1epoch-capybara-2epoch | null | [
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# kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-1epoch-capybara-2epoch
This model is a fine-tuned version of orpo-explorers/kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-1epoch on the argilla/Capybara-Preferences dataset.
## Model description
More information needed
## Intended uses & limitations
More inf... | [
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text2text-generation | transformers | ## Eval results on WikiLarge
We obtain the following results on ```validation``` and ```test``` sets of WikiLarge:
| Set | SARI | BLEU |
|------------|-------|-------|
| validation | 43.08 | 26.81 |
| test | 39.74 | 33.23 |
## EASSE evaluation
### TurkCorpus
We obtain the following results on ```vali... | {"language": ["en"], "tags": ["sentence-simplification"], "metrics": ["sari", "bleu"], "pipeline_tag": "text2text-generation"} | waboucay/bart-base-simplification-wikilarge-original | null | [
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| Eval results on WikiLarge
-------------------------
We obtain the following results on and sets of WikiLarge:
Set: validation, SARI: 43.08, BLEU: 26.81
Set: test, SARI: 39.74, BLEU: 33.23
EASSE evaluation
----------------
### TurkCorpus
We obtain the following results on and sets of the Turk corpus:
### AS... | [
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** Buncha
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Buncha/lora_hanwan_llama3_8B | null | [
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|
# Uploaded model
- Developed by: Buncha
- 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 | # **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can be fo... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "Access Llama 2 on Hugging Face", "extra_gated_description": "This is a form to enable access to Llama 2 on Hugging Face after you have been granted access from Meta. Please visit the [Meta website](https://ai.meta.... | rasika00/Llama-2-7b-chat-hf | null | [
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| Llama 2
=======
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can b... | [] | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_3iters_bs128_declr_nodpo_z... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_1", "model-index": [{"name": "0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_2", "... | ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_2 | null | [
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... | null | 2024-04-26T10:00:06+00:00 | [] | [] | TAGS
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# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | ### Function Calling Llama by ScaleGenAI
## This model is intended for use in environments where automated function calling capabilities are required to enhance data manipulation and retrieval tasks. It is particularly useful in scenarios involving complex data analysis, where users can query data interactively throu... | {"license": "llama3"} | ScaleGenAI/Llama3-8B-Function-Calling | null | [
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text-generation | transformers |
# llama-3-base-instruct-slerp
llama-3-base-instruct-slerp is a merge of the following models using [mergekit](https://github.com/arcee-ai/mergekit):
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B-Instruct"]} | DavidAhn/llama-3-base-instruct-slerp | null | [
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|
# llama-3-base-instruct-slerp
llama-3-base-instruct-slerp is a merge of the following models using mergekit:
* meta-llama/Meta-Llama-3-8B
* meta-llama/Meta-Llama-3-8B-Instruct
## Configuration
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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": []} | krasserm/gba-planner-7B-v0.1 | 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. -->
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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. -->
# distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-lora-text-classification", "results": []}]} | phukon/distilbert-base-uncased-lora-text-classification | null | [
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| distilbert-base-uncased-lora-text-classification
================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9731
* Accuracy: {'accuracy': 0.891}
Model description
---------... | [
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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/6-200 | null | [
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text-generation | transformers |
# llama3-8b-cqia
[<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 m-a-p/COIG-CQIA. 2 epoch qlora. Code under [https://huggingface.co/HenryJJ... | {"license": "apache-2.0", "datasets": ["m-a-p/COIG-CQIA"]} | HenryJJ/llama3-8b-cqia | null | [
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|
# llama3-8b-cqia
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
SFT with m-a-p/COIG-CQIA. 2 epoch qlora. Code under URL
# Model Details
* Trained by: trained by HenryJJ.
* Model type: llama3 is an auto-regressive language model based on the Llama 3 transformer architecture.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# DadOfTofu/distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "DadOfTofu/distilbert-base-uncased-finetuned-cola", "results": []}]} | DadOfTofu/distilbert-base-uncased-finetuned-cola | null | [
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================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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* Train Matthews Correlation:... | [
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null | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-sql-instruct_lora_model | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-100-50-0.003 | null | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - manhdofts03/bach_output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of sks dog"} | manhdofts03/bach_output | null | [
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null | transformers | ## About
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<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Tamnemtf/Flirty-Mistral
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["LLMs", "NLP", "Vietnamese"], "datasets": ["Tamnemtf/Flirty"], "base_model": "Tamnemtf/Flirty-Mistral", "quantized_by": "mradermacher"} | mradermacher/Flirty-Mistral-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.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-generation | transformers |
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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 - fatimaaa1/padding_40
<Gallery />
## Model description
These are fatimaaa1/padding_40 LoRA adap... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a bussiness card", "widg... | fatimaaa1/padding_40 | null | [
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|
# SDXL LoRA DreamBooth - fatimaaa1/padding_40
<Gallery />
## Model description
These are fatimaaa1/padding_40 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: madebyollin... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Kaizu07
- **License:** apache-2.0
- **Finetuned from model :** BanglaLLM/bangla-llama-7b-instruct-v0.1
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", "sft"], "base_model": "BanglaLLM/bangla-llama-7b-instruct-v0.1"} | Kaizu07/llama2-bn-v0_4-4bit | null | [
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|
# Uploaded model
- Developed by: Kaizu07
- License: apache-2.0
- Finetuned from model : BanglaLLM/bangla-llama-7b-instruct-v0.1
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 |
# 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": []} | suke0327/whisper-large_even_de | null | [
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#transformers #safetensors #whisper #automatic-speech-recognition #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. -->
# trainer
This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-1... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-128k-instruct", "model-index": [{"name": "trainer", "results": []}]} | Surabhi-K/phi3_7epochs | null | [
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"license:mit",
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#peft #safetensors #generated_from_trainer #base_model-microsoft/Phi-3-mini-128k-instruct #license-mit #region-us
|
# trainer
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3826
- eval_runtime: 19.8497
- eval_samples_per_second: 1.31
- eval_steps_per_second: 0.655
- epoch: 7.0
- step: 826
## Model description... | [
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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_Text_Classification
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the Non... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "Roberta_Text_Classification", "results": []}]} | oumaymaMb/Roberta_Text_Classification | null | [
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| Roberta\_Text\_Classification
=============================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0157
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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text-generation | transformers |
# RachidAR/Llama-3-8B-Instruct-DPO-v0.3-Q6_K-GGUF
This model was converted to GGUF format from [`MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3`](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
R... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs"], "model_name": "Llama-3-8B-Instruct-DPO-v0.3", "base_model": "meta-llama/Meta-Llama-3-8B-... | RachidAR/Llama-3-8B-Instruct-DPO-v0.3-Q6_K-GGUF | null | [
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|
# RachidAR/Llama-3-8B-Instruct-DPO-v0.3-Q6_K-GGUF
This model was converted to GGUF format from 'MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3' 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 t... | [
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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/llava-llama-3-8b-v1_1-GGUF-smashed | null | [
"gguf",
"pruna-ai",
"region:us"
] | null | 2024-04-26T10:07:12+00:00 | [] | [] | TAGS
#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the xtuner/llava-llama-3-8b-v1\_1 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/chujiezheng/tulu-2-dpo-7b-ExPO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "chujiezheng/tulu-2-dpo-7b-ExPO", "license_link": "https://allenai.org/impact-license", "license_name": "ai2-impact-license-low-risk", "quantized_by": "mradermacher"} | mradermacher/tulu-2-dpo-7b-ExPO-GGUF | null | [
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"base_model:chujiezheng/tulu-2-dpo-7b-ExPO",
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#transformers #gguf #en #base_model-chujiezheng/tulu-2-dpo-7b-ExPO #license-other #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 |
# Fadikkop/openbuddy-openllama-3b-v10-bf16-Q4_K_M-GGUF
This model was converted to GGUF format from [`OpenBuddy/openbuddy-openllama-3b-v10-bf16`](https://huggingface.co/OpenBuddy/openbuddy-openllama-3b-v10-bf16) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space... | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": false} | Fadikkop/openbuddy-openllama-3b-v10-bf16-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T10:07:41+00:00 | [] | [
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"en",
"fr",
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#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #ru #license-apache-2.0 #region-us
|
# Fadikkop/openbuddy-openllama-3b-v10-bf16-Q4_K_M-GGUF
This model was converted to GGUF format from 'OpenBuddy/openbuddy-openllama-3b-v10-bf16' 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 ... | [
"# Fadikkop/openbuddy-openllama-3b-v10-bf16-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-openllama-3b-v10-bf16' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke... | [
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"# Fadikkop/openbuddy-openllama-3b-v10-bf16-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-openllama-3b-v10-bf16' using URL via the URL's GGUF-my... | [
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null | allennlp | # 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).
## Mod... | {"language": ["ru"], "license": "cc", "library_name": "allennlp", "tags": ["not-for-all-audiences"], "datasets": ["PleIAs/YouTube-Commons"], "metrics": ["accuracy"]} | IuraHD/Raya | null | [
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"1910.09700"
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"ru"
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#allennlp #not-for-all-audiences #ru #dataset-PleIAs/YouTube-Commons #arxiv-1910.09700 #license-cc #region-us
| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
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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/6-210 | null | [
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|
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zandfj/LLaMA2-7B-Chat-dpo-z-042617-moren | null | [
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|
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | chrispinugu/gpt2-reuters-tokenizer | null | [
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|
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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. -->
# zephyr-7b-gemma-sft-5p-2048
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on t... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-5p-2048", "results": []}]} | Jackie999/zephyr-7b-gemma-sft-5p-2048 | null | [
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| zephyr-7b-gemma-sft-5p-2048
===========================
This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1822
Model description
-----------------
More information needed
Intended uses & limita... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/OmnicromsBrain/EverythingBagel-DPO-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "jondurbin/bagel-dpo-7b-v0.5", "SanjiWatsuki/Silicon-Maid-7B"], "base_model": "OmnicromsBrain/EverythingBagel-DPO-7B", "quantized_by": "mradermacher"} | mradermacher/EverythingBagel-DPO-7B-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 |
# 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": []} | mehdisebai/Enlighten_Instruct-text-to-rule_merged | 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 |
<!-- 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. -->
# donut_synDB_w
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_synDB_w", "results": []}]} | Donut01/donut_synDB_w | null | [
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"base_model:naver-clova-ix/donut-base",
"license:mit",
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#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
| donut\_synDB\_w
===============
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0997
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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": []} | adldl/Meta-Llama-3-8B-Instruct_V2 | null | [
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|
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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-160m_mz-131f_PasswordMatch
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-131f_PasswordMatch", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-131f_PasswordMatch | null | [
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"safetensors",
"gpt_neox",
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|
# robust_llm_pythia-160m_mz-131f_PasswordMatch
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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null | transformers |
# Uploaded model
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object-detection | transformers |
# Model Card for Model ID
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object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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. -->
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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### Model Description
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null | transformers | ## About
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static quants of URL
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null | transformers | ## About
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static quants of URL
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
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null | transformers |
# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** rathodj08
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | rathodj08/llama3_finetune_model | null | [
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|
# Uploaded model
- Developed by: rathodj08
- 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-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_IMDB_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-0
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 procedur... | [
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text-generation | transformers |
# Llama-3-Mistral-v0.2-Instruct-passthrough
Llama-3-Mistral-v0.2-Instruct-passthrough is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8... | {"tags": ["merge", "mergekit", "lazymergekit", "meta-llama/Meta-Llama-3-8B-Instruct", "mistralai/Mistral-7B-Instruct-v0.2"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct", "mistralai/Mistral-7B-Instruct-v0.2"]} | varox34/Llama-3-Mistral-v0.2-Instruct-passthrough | null | [
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"a... | null | 2024-04-26T10:33:50+00:00 | [] | [] | TAGS
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# Llama-3-Mistral-v0.2-Instruct-passthrough
Llama-3-Mistral-v0.2-Instruct-passthrough is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B-Instruct
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tutuhu/style5 | 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]:
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- License... | [
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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-bible
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-bible", "results": []}]} | Pragash-Mohanarajah/distilbert-base-uncased-finetuned-bible | null | [
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| distilbert-base-uncased-finetuned-bible
=======================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2468
Model description
-----------------
More information needed
Intended uses &... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mlx-community/Llama-3-8B-Instruct-262k-unquantized
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mra... | {"language": ["en"], "library_name": "transformers", "tags": ["meta", "llama-3", "mlx"], "base_model": "mlx-community/Llama-3-8B-Instruct-262k-unquantized", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Instruct-262k-unquantized-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix 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.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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image-to-text | null |
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[](https://github.com/InternLM/xtuner)
</div>
## Model
llava-llama-3-8b-v1_1 is a LLaVA model fine-tun... | {"datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-to-text"} | xtuner/llava-llama-3-8b-v1_1-gguf | null | [
"gguf",
"image-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-26T10:41:02+00:00 | [] | [] | TAGS
#gguf #image-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
![Generic badge](URL
Model
-----
llava-llama-3-8b-v1\_1 is a LLaVA model fine-tuned from meta-llama/Meta-Llama-3-8B-Instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner.
Note: This model is in GGUF format.
Resources:
* GitHub: xtuner
* HuggingFace LLaVA forma... | [
"### Download models",
"### Chat by 'ollama'",
"### Chat by 'URL'\n\n\n1. Build URL (docs) .\n2. Build './llava-cli' (docs).\n\n\nNote: llava-llama-3-8b-v1\\_1 uses the Llama-3-instruct chat template.",
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text-generation | null |
## Llamacpp imatrix Quantizations of Llama-3-8B-LexiFun-Uncensored-V1
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/Orenguteng/Llama-3-8B-LexiFun-Unce... | {"language": ["en"], "license": "other", "tags": ["llama3", "comedy", "comedian", "fun", "funny", "llama38b", "laugh", "sarcasm", "roleplay"], "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Llama-3-8B-LexiFun-Uncensored-V1-old-GGUF | null | [
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| Llamacpp imatrix Quantizations of Llama-3-8B-LexiFun-Uncensored-V1
------------------------------------------------------------------
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
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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": []} | Aarushhh/sstgpt-try1 | 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:
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- License... | [
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feature-extraction | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_bge_ver25
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver25", "results": []}]} | comet24082002/finetuned_bge_ver25 | null | [
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] | null | 2024-04-26T10:42:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver25
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
"# finetuned_bge_ver25\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SST-GPT
This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-1... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-128k-instruct", "model-index": [{"name": "SST-GPT", "results": []}]} | Aarushhh/SST-GPT | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/Phi-3-mini-128k-instruct",
"license:mit",
"region:us"
] | null | 2024-04-26T10:42:35+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/Phi-3-mini-128k-instruct #license-mit #region-us
|
# SST-GPT
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct 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 hyperparame... | [
"# SST-GPT\n\nThis model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "... | thekoc11/Reinforce-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-26T10:44:48+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
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