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text-generation | transformers |
# Uploaded model
- **Developed by:** andrewatef
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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", "sft"], "base_model": "unsloth/tinyllama-bnb-4bit"} | andrewatef/ReSV0116bit | null | [
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|
# Uploaded model
- Developed by: andrewatef
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
<!-- 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. -->
# segformer-b0-scene-parse-150
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the ... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["scene_parse_150"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-scene-parse-150", "results": []}]} | gost-sniper/segformer-b0-scene-parse-150 | null | [
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| segformer-b0-scene-parse-150
============================
This model is a fine-tuned version of nvidia/mit-b0 on the scene\_parse\_150 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6836
* Mean Iou: 0.0785
* Mean Accuracy: 0.1421
* Overall Accuracy: 0.5276
* Per Category Iou: [0.5399621... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** andrewatef
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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", "sft"], "base_model": "unsloth/tinyllama-bnb-4bit"} | andrewatef/ReSV014bit | null | [
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|
# Uploaded model
- Developed by: andrewatef
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-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 |
# Malicious-Url-Detection
Using this model, you can detects harmful links created to harm people such as phishing, malware urls. this model Classifies if the urls addresses are malware and benign.
Type the domain name of the url address in the text field for classification in API: Like this:
"huggingface.com"
This... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["distilbert", "bert"], "datasets": ["kmack/Phishing_urls"], "pipeline_tag": "text-classification"} | kmack/malicious-url-detection | null | [
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|
# Malicious-Url-Detection
Using this model, you can detects harmful links created to harm people such as phishing, malware urls. this model Classifies if the urls addresses are malware and benign.
Type the domain name of the url address in the text field for classification in API: Like this:
"URL"
This model is a ... | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-4k-instruct", "model-index": [{"name": "phi-3-mini-general-ift", "results": []}]} | prithviraj-maurya/phi-3-mini-general-ift | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/Phi-3-mini-4k-instruct",
"license:mit",
"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/Phi-3-mini-4k-instruct #license-mit #region-us
|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# phi-3-mini-general-ift
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-i... | [
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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. -->
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/H... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-tutorial", "results": []}]} | zesquirrelnator/idefics2-8b-docvqa-finetuned-tutorial | null | [
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|
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-13b-chat-hf"} | bmehrba/Llama-2-13b-chat-hf-fine-tuned-adapters_Epistemic_Llama13b_0.0_Seed102 | null | [
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# Model Card for Model ID
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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. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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null | null |
# hus960/Matter-0.2-32B-Q4_K_M-GGUF
This model was converted to GGUF format from [`0-hero/Matter-0.2-32B`](https://huggingface.co/0-hero/Matter-0.2-32B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["0-hero/Matter-0.2-alpha-Slim-A"]} | hus960/Matter-0.2-32B-Q4_K_M-GGUF | null | [
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"en",
"dataset:0-hero/Matter-0.2-alpha-Slim-A",
"license:apache-2.0",
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|
# hus960/Matter-0.2-32B-Q4_K_M-GGUF
This model was converted to GGUF format from '0-hero/Matter-0.2-32B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Y... | [
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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. -->
# results
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
## Mod... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "results", "results": []}]} | harshal-11/results | null | [
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|
# results
This model is a fine-tuned version of roberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hy... | [
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text-generation | null |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | NurtureAI/Meta-Llama-3-70B-Instruct-64k-GGUF | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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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": []} | kaidens/llamafinetuned | 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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null | transformers |
# Uploaded model
- **Developed by:** andrewatef
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | andrewatef/ReSV01gguf | null | [
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# Uploaded model
- Developed by: andrewatef
- License: apache-2.0
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text-generation | transformers |
# Synatra-11B-L3-v1
## Model Description
Llama 3 11B attenuated 모델에 40만개 이상의 한국어, 영어 채팅 데이터를 학습시킨 모델입니다. More Details Soon.
채팅 템플릿은 라마3 Chat 형식을 따릅니다.
## License
https://llama.meta.com/llama3/license/
## Thanks to
- 기반 모델을 제공해주신, [Jisoo Kim (kuotient)](https://huggingface.co/kuotient)
- A100 클러스터를 제공해주신, [Sioni... | {"license": "other", "license_name": "llama3", "base_model": ["kuotient/Llama-3-11B-Instruct-attenuated"]} | hanzogak/Llama-3-Synatra-11B-v1-exl2-h8-6.5 | null | [
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|
# Synatra-11B-L3-v1
## Model Description
Llama 3 11B attenuated 모델에 40만개 이상의 한국어, 영어 채팅 데이터를 학습시킨 모델입니다. More Details Soon.
채팅 템플릿은 라마3 Chat 형식을 따릅니다.
## License
URL
## Thanks to
- 기반 모델을 제공해주신, Jisoo Kim (kuotient)
- A100 클러스터를 제공해주신, Sionic AI
## Contact
- Discord Server Link | [
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"## License\n\nURL",
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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. -->
# BioNLP-tech_ner-PLOS
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BioNLP-tech_ner-PLOS", "results": []}]} | dtorber/BioNLP-tech_ner-PLOS | null | [
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|
# BioNLP-tech_ner-PLOS
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hype... | [
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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-political-bias
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown d... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-political-bias", "results": []}]} | harshal-11/roberta-political-bias | null | [
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|
# roberta-political-bias
This model is a fine-tuned version of roberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sayan01/CKA-T5-FLAN-b-T1 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** K00B404
- **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/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | K00B404/llama3_8B_pythoncodes25k_120steps_lora | null | [
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# Uploaded model
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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... | cmattoon/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
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"model-index",
"region:us"
] | null | 2024-04-24T00:15:49+00:00 | [] | [] | TAGS
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|
# 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... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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text-generation | transformers |
# 🚀 Falcon-7B
**Falcon-7B is a 7B parameters causal decoder-only model built by [TII](https://www.tii.ae) and trained on 1,500B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb) enhanced with curated corpora. It is made available under the Apache 2.0 license.**
*Paper coming soon* 😊.... | {"language": ["en"], "license": "apache-2.0", "datasets": ["tiiuae/falcon-refinedweb"], "inference": false} | titanbot/ct2-int8-falcon-7b | null | [
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| Falcon-7B
=========
Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.
*Paper coming soon* .
To get started with Falcon (inference, finetuning, quantization, etc.), we reco... | [
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text-generation | transformers | Quantizations of https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
Update (May 1, 2024): re-uploaded models after this merge: https://github.com/ggerganov/llama.cpp/pull/6920
Models now work correctly (tried with 7777+3333 and 3333+777 using Q8_0, both gave correct results)
# From original readme
## How to ... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "facebook", "meta", "llama", "llama-3"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/Meta-Llama-3-8B-Instruct-imatrix-GGUF | null | [
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#transformers #gguf #imatrix #facebook #meta #llama #llama-3 #text-generation #en #license-other #region-us
| Quantizations of URL
Update (May 1, 2024): re-uploaded models after this merge: URL
Models now work correctly (tried with 7777+3333 and 3333+777 using Q8_0, both gave correct results)
# From original readme
## How to use
This repository contains two versions of Meta-Llama-3-8B-Instruct, for use with transformers an... | [
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text-generation | transformers |
I messed up on the [previous model](https://huggingface.co/mrfakename/refusal-old). This is a fixed version.
A tiny 1B model that refuses basically anything you ask it! Trained on the [refusal](https://huggingface.co/datasets/mrfakename/refusal) dataset. Prompt format is ChatML.
Training results:
| Training Loss | ... | {"language": ["en"], "library_name": "transformers", "datasets": ["mrfakename/refusal"], "pipeline_tag": "text-generation", "base_model": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T"} | mrfakename/refusal | null | [
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| I messed up on the previous model. This is a fixed version.
A tiny 1B model that refuses basically anything you ask it! Trained on the refusal dataset. Prompt format is ChatML.
Training results:
Training hyperparemeters:
The following hyperparameters were used during training:
* learning\_rate: 0.0002
* trai... | [] | [
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] |
text-generation | transformers |
### BaseModel
- [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf)
### Model Generation
```
from transforemrs import AutoTokenizer, AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("AIdenU/Mistral-7B-v0.2-ko-Y24_v2.0", device_map="auto", torch_dtype=torch.bfloat... | {"language": ["ko"], "license": "apache-2.0", "tags": ["Mistral"], "pipeline_tag": "text-generation"} | AIdenU/Mistral-7B-v0.2-ko-Y24_v2.0 | null | [
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|
### BaseModel
- alpindale/Mistral-7B-v0.2-hf
### Model Generation
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] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model1
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "my_awesome_model1", "results": []}]} | CornCube/my_awesome_model1 | null | [
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| my\_awesome\_model1
===================
This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2277
* Accuracy: 0.9435
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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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": "meta-llama/Meta-Llama-3-8B"} | AlienKevin/Meta-Llama-3-8B-tagllm-translation-10 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [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": []} | MaulikMadhavi/blip2-opt-2.7b-cuhk-captions-adapters | 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": ["unsloth"]} | vincentyandex/lora_llama3_chunked_novel_bs128 | null | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | NurtureAI/Meta-Llama-3-70B-Instruct-64k | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | transformers | # merged
This is the 4.5bit EXL2 Quantized version of SnowyRP's first Llama 3 model. Quality of this model is unknown, since it is a Llama 3 model that I have not had the chance to test much.
.[BF16](https://huggingface.co/Masterjp123/Llama-3-SnowyRP-8B-V1)
## Merge Details
For this model I used the most uncensored a... | {"library_name": "transformers", "tags": ["mergekit", "merge", "EXL2", "4.5bit"], "base_model": ["Dogge/llama-3-8B-instruct-Bluemoon-Freedom-RP", "nbeerbower/llama-3-dragonmaid-8B", "kuotient/Meta-Llama-3-8B-Instruct", "Locutusque/llama-3-neural-chat-v1-8b", "Undi95/Llama-3-Unholy-8B-e4", "openlynn/Llama-3-Soliloquy-8B... | Masterjp123/Llama-3-SnowyRP-8B-V1-EXL2-4.5bit | null | [
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"base_model:nbeerbower/llama-3-dragonmaid-8B",
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"base_model:Locu... | null | 2024-04-24T00:29:57+00:00 | [
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This is the 4.5bit EXL2 Quantized version of SnowyRP's first Llama 3 model. Quality of this model is unknown, since it is a Llama 3 model that I have not had the chance to test much.
.BF16
## Merge Details
For this model I used the most uncensored and smartest finetunes of LLama 3, since LLama 3 has the larg... | [
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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": []} | besiktas/fuyu-8b | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded model
- **Developed by:** K00B404
- **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/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "widget": [{"text": "Jack lives in the USA"}], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | K00B404/llama3_8B_pythoncodes25k_120steps_lora_4bit | null | [
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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. -->
# causal_language_model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset.
It... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "causal_language_model", "results": []}]} | jzjackjz/causal_language_model | null | [
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| causal\_language\_model
=======================
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5789
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mp1704/qwen_1.8b_sft_full_1 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# coding_llamaduo_60k
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the chans... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["chansung/merged_ds_coding"], "base_model": "google/gemma-7b", "model-index": [{"name": "coding_llamaduo_60k", "results": []}]} | chansung/coding_llamaduo_60k | null | [
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| coding\_llamaduo\_60k
=====================
This model is a fine-tuned version of google/gemma-7b on the chansung/merged\_ds\_coding dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6318
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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null | null |
# NikolayKozloff/Lexi-Llama-3-8B-Uncensored-Q6_K-GGUF
This model was converted to GGUF format from [`Orenguteng/Lexi-Llama-3-8B-Uncensored`](https://huggingface.co/Orenguteng/Lexi-Llama-3-8B-Uncensored) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"license": "llama3", "tags": ["uncensored", "llama3", "instruct", "open", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/Lexi-Llama-3-8B-Uncensored-Q6_K-GGUF | null | [
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|
# NikolayKozloff/Lexi-Llama-3-8B-Uncensored-Q6_K-GGUF
This model was converted to GGUF format from 'Orenguteng/Lexi-Llama-3-8B-Uncensored' 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 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": []} | TTTTao725/molt5-augmented-contrastive-100-small-smiles-encoder | 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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### 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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-llamalfg10 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
DPO for meta-llama/Meta-Llama-3-70B-Instruct by jondurbin/truthy-dpo-v0.1
example output:
```
<|begin_of_text|>write me a story about yellowstone national park in the 1800s, with a focus on geysers and hot springs. I'd love to hear more about the early explorations of this incredible place! Here's my attempt at writ... | {"license": "apache-2.0"} | cloudyu/Meta-Llama-3-70B-Instruct-DPO | null | [
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"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
DPO for meta-llama/Meta-Llama-3-70B-Instruct by jondurbin/truthy-dpo-v0.1
example output:
| [] | [
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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. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | vincentoh/code-llama-7b-text-to-sql | null | [
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"license:llama2",
"region:us"
] | null | 2024-04-24T00:45:40+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us
|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mp1704/qwen_1.8b_sft_full_2 | null | [
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"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #qwen2 #feature-extraction #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | rahil1206/Reinforce-CartPole-v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kresnik/openai-whisper-large-v3-LORA-korean | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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] | null | 2024-04-24T00:54:13+00:00 | [
"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# MPT-7B
MPT-7B is a decoder-style transformer pretrained from scratch on 1T tokens of English text and code.
This model was trained by [MosaicML](https://www.mosaicml.com).
MPT-7B is part of the family of MosaicPretrainedTransformer (MPT) models, which use a modified transformer architecture optimized for efficient... | {"license": "apache-2.0", "tags": ["Composer", "MosaicML", "llm-foundry", "StreamingDatasets"], "datasets": ["mc4", "c4", "togethercomputer/RedPajama-Data-1T", "bigcode/the-stack", "allenai/s2orc"], "inference": false} | titanbot/ct2-int8-mtb-7b | null | [
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======
MPT-7B is a decoder-style transformer pretrained from scratch on 1T tokens of English text and code.
This model was trained by MosaicML.
MPT-7B is part of the family of MosaicPretrainedTransformer (MPT) models, which use a modified transformer architecture optimized for efficient training and inferenc... | [
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_1ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_1ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_1ep | null | [
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"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-24T01:00:19+00:00 | [] | [] | TAGS
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|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_1ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.3948
- eval_runtime: 3.6541
- eval_samples_per_second: 54.734
- eval_step... | [
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text-generation | transformers |
<h1 align="center">
Rho-1: Not All Tokens Are What You Need
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2404.07965"><b>[📜 Arxiv]</b></a> •
<a href="https://huggingface.co/papers/2404.07965"><b>[💬 HF Paper]</b></a> •
<a href="https://huggingface.co/microsoft/rho-math-1b-v0.1"><b>[🤗 Models]</b></... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math"], "pipeline_tag": "text-generation"} | jncraton/rho-math-1b-v0.1-ct2-int8 | null | [
"transformers",
"nlp",
"math",
"text-generation",
"en",
"arxiv:2404.07965",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T01:02:57+00:00 | [
"2404.07965"
] | [
"en"
] | TAGS
#transformers #nlp #math #text-generation #en #arxiv-2404.07965 #license-mit #endpoints_compatible #region-us
|
Rho-1: Not All Tokens Are What You Need
========================================
•
*Figure 1: Rho-1 is pre-trained with Selective Language Modeling (SLM). SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline performance 5-10x faster.*
News
----
... | [
"### Selective Lanugage Modeling (SLM)\n\n\n\n\n \n\n*Figure 2:\n **Upper:** Even an extensively filtered pretraining corpus contains token-level noise.\n **Left:** Previous Causal Language Modeling (CLM) trains on all tokens.\n **Right:** Our proposed Selective Language Modeling (SLM) selectively a... | [
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null | null |
# CalmexperimentStrangemerges_32-7B
CalmexperimentStrangemerges_32-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: allknowingroger/CalmExperiment-7B-slerp
- ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/CalmexperimentStrangemerges_32-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
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] | null | 2024-04-24T01:03:50+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# CalmexperimentStrangemerges_32-7B
CalmexperimentStrangemerges_32-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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] |
feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kakaobrain/llama2-mha-from-scratch-ckpt-125M | 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 | 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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_2ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_2ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_2ep | null | [
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# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_2ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sayan01/CKA-T5-FLAN-m-T1 | 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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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | yy1636/SoccerTwos-test-0 | null | [
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# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_3ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_3ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_3ep | null | [
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# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_3ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | morioxd/happymakerai_v3_1 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | Alignment-Lab-AI/Meta-Llama-3-8B-instruct-hf | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_4ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_4ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_4ep | null | [
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# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_4ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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null | transformers |
# Uploaded model
- **Developed by:** K00B404
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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# Uploaded model
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null | transformers |
# Uploaded model
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- **License:** apache-2.0
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# Uploaded model
- Developed by: K00B404
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-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": []} | Ynir/gemma-Code-Instruct-Finetune-test | 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": []} | kimwooglae/WebSquareAI-Instruct-llama-3-8B-v0.5.38 | 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": []} | inswave/WebSquareAI-Instruct-llama-3-8B-v0.5.38 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_5ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_5ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_5ep | null | [
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|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr1e-5_5ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.5628
- eval_runtime: 3.6324
- eval_samples_per_second: 55.06
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null | transformers |
## Model Details
This is meta-llama/Meta-Llama-3-8B converted into an embedding model with [llm2vec](https://github.com/McGill-NLP/llm2vec).
Details here:
To be announced.
- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
- **Language(s) (NLP):** English
- **License:** Apache 2.0 license ; You m... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llm2vec"]} | kaitchup/Llama-3-8B-llm2vec-Emb | null | [
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## Model Details
This is meta-llama/Meta-Llama-3-8B converted into an embedding model with llm2vec.
Details here:
To be announced.
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-tiny-en
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the m... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["PolyAI/minds14"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-en", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "m... | BanUrsus/whisper-tiny-en | null | [
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| whisper-tiny-en
===============
This model is a fine-tuned version of openai/whisper-tiny on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7626
* Wer Ortho: 0.2891
* Wer: 0.2884
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
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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. -->
# mistralv1_spectral_r4_6e-5_e5_bf16
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mist... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_spectral_r4_6e-5_e5_bf16", "results": []}]} | fangzhaoz/mistralv1_spectral_r4_6e-5_e5_bf16 | null | [
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|
# mistralv1_spectral_r4_6e-5_e5_bf16
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.01_ablation_4iters_bs256_nodpo_iter_3
This model is a fine-tuned version of [ShenaoZ/0.01_ablation_4iters_bs256_nodpo_iter_2](... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.01_ablation_4iters_bs256_nodpo_iter_2", "model-index": [{"name": "0.01_ablation_4iters_bs256_nodpo_iter_3", "results": []}]} | ShenaoZ/0.01_ablation_4iters_bs256_nodpo_iter_3 | null | [
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|
# 0.01_ablation_4iters_bs256_nodpo_iter_3
This model is a fine-tuned version of ShenaoZ/0.01_ablation_4iters_bs256_nodpo_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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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... | {"license": "bigscience-bloom-rail-1.0", "library_name": "transformers", "datasets": ["winogrande"]} | liuchanghf/bloomz3b-winogrande-pretrain | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | fangzhaoz/mistralv1_spectral_r4_6e-5_e5_bf16_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 | 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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_1ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Ins... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_1ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_1ep | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_1ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.4147
- eval_runtime: 5.629
- eval_samples_per_second: 35.53
- eval_steps_per_seco... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SoccerTwos**
This is a trained model of a **ppo** agent playing **SoccerTwos**
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-Documen... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | blu666/ppo-SoccerTwos | null | [
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"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# ppo Agent playing SoccerTwos
This is a trained model of a ppo agent playing SoccerTwos
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* wh... | [
"# ppo Agent playing SoccerTwos\n This is a trained model of a ppo agent playing SoccerTwos\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 tu... | [
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"TAGS\n#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us \n# ppo Agent playing SoccerTwos\n This is a trained model of a ppo agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentati... |
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-30k | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | tian-yu/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6044
* Bleu: 5.643
* Gen Len: 17.6269
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
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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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_2ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Ins... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_2ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_2ep | null | [
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|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_2ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.6386
- eval_runtime: 3.0956
- eval_samples_per_second: 64.608
- eval_steps_per_se... | [
"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_2ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 1.6386\n- eval_runtime: 3.0956\n- eval_samples_per_second: 64.608\n- eval_ste... | [
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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": []} | ManiWavelabs/QA_FineTune | null | [
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"safetensors",
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# MPT-7B-StoryWriter-65k+
MPT-7B-StoryWriter-65k+ is a model designed to read and write fictional stories with super long context lengths.
It was built by finetuning MPT-7B with a context length of 65k tokens on a filtered fiction subset of the [books3 dataset](https://huggingface.co/datasets/the_pile_books3).
At inf... | {"license": "apache-2.0", "tags": ["Composer", "MosaicML", "llm-foundry"], "datasets": ["the_pile_books3"], "inference": false} | titanbot/ct2-int8-mtb-7b-storywriter | null | [
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"arxiv:2302.06675",
"license:apache-2.0",
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| MPT-7B-StoryWriter-65k+
=======================
MPT-7B-StoryWriter-65k+ is a model designed to read and write fictional stories with super long context lengths.
It was built by finetuning MPT-7B with a context length of 65k tokens on a filtered fiction subset of the books3 dataset.
At inference time, thanks to ALiBi,... | [
"### Training Configuration\n\n\nThis model was trained on 8 A100-80GBs for about 2 days using the MosaicML Platform.\nThe model was trained with sharded data parallelism using FSDP and used the LION optimizer.\n\n\nLimitations and Biases\n----------------------\n\n\n*The following language is modified from Eleuthe... | [
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text-generation | transformers | # etri-xainlp/kor-llama2-13b-dpo
## Model Details
**Model Developers** ETRI xainlp team
**Input** text only.
**Output** text only.
**Model Architecture**
**Base Model** [meta-llama/Llama-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf)
**Training Dataset**
- sft+lora: 1,821 k instruction-follow... | {"license": "cc-by-nc-4.0"} | etri-xainlp/kor-llama2-13b-dpo | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T01:44:53+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # etri-xainlp/kor-llama2-13b-dpo
## Model Details
Model Developers ETRI xainlp team
Input text only.
Output text only.
Model Architecture
Base Model meta-llama/Llama-13b-hf
Training Dataset
- sft+lora: 1,821 k instruction-following set
- dpo+lora: 221 k user preference set
- We use A100 GPU 80GB... | [
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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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_3ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Ins... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_3ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_3ep | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-24T01:45:04+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_3ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.2284
- eval_runtime: 3.097
- eval_samples_per_second: 64.579
- eval_steps_per_sec... | [
"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_3ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 1.2284\n- eval_runtime: 3.097\n- eval_samples_per_second: 64.579\n- eval_step... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small vd - Rashmi Shinde
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whis... | {"language": ["dv"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["vtdataset"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small vd - Rashmi Shinde", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Reco... | Rashmi21/whisper-small-vt | null | [
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"whisper",
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"dv",
"dataset:vtdataset",
"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T01:46:40+00:00 | [] | [
"dv"
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| Whisper Small vd - Rashmi Shinde
================================
This model is a fine-tuned version of openai/whisper-small on the videos data dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5692
* Wer Ortho: 14.7630
* Wer: 11.3930
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-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: constant\\_with\\_warmup\n* lr\\_schedule... | [
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null | null |
just klm pretrains but extracted, nothing else. | {"language": ["ko"], "tags": ["rvc", "pretrain"]} | the8thstar/Fixed_KLM | null | [
"rvc",
"pretrain",
"ko",
"region:us"
] | null | 2024-04-24T01:49:59+00:00 | [] | [
"ko"
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#rvc #pretrain #ko #region-us
|
just klm pretrains but extracted, nothing else. | [] | [
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null | transformers |
# DavidAU/Chaos_RP_l3_8B-Q8_0-GGUF
This model was converted to GGUF format from [`jeiku/Chaos_RP_l3_8B`](https://huggingface.co/jeiku/Chaos_RP_l3_8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/je... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "base_model": ["ChaoticNeutrals/IQ_Test_l3_8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"]} | DavidAU/Chaos_RP_l3_8B-Q8_0-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:ChaoticNeutrals/IQ_Test_l3_8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T01:51:22+00:00 | [] | [
"en"
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#transformers #gguf #llama-cpp #gguf-my-repo #en #base_model-ChaoticNeutrals/IQ_Test_l3_8B #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Chaos_RP_l3_8B-Q8_0-GGUF
This model was converted to GGUF format from 'jeiku/Chaos_RP_l3_8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You... | [
"# DavidAU/Chaos_RP_l3_8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'jeiku/Chaos_RP_l3_8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #en #base_model-ChaoticNeutrals/IQ_Test_l3_8B #license-apache-2.0 #endpoints_compatible #region-us \n",
"# DavidAU/Chaos_RP_l3_8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'jeiku/Chaos_RP_l3_8B' using URL via the URL's GGUF-my-repo space.\nRefer to... | [
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #en #base_model-ChaoticNeutrals/IQ_Test_l3_8B #license-apache-2.0 #endpoints_compatible #region-us \n# DavidAU/Chaos_RP_l3_8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'jeiku/Chaos_RP_l3_8B' using URL via the URL's GGUF-my-repo space.\nRefer to the o... |
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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_4ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Ins... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_4ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_4ep | null | [
"peft",
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"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-24T01:51:29+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_4ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1271
- eval_runtime: 3.0857
- eval_samples_per_second: 64.815
- eval_steps_per_se... | [
"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_4ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 1.1271\n- eval_runtime: 3.0857\n- eval_samples_per_second: 64.815\n- eval_ste... | [
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"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_4ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the followi... | [
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text-generation | transformers | 4 bits quantized GGUF weight of phi-3-mini-4k-instruct. Mlx compatible.
Official model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf (not supported by mlx)
Please note that the official phi-3-mini-4k-instruct.gguf model is of llama-2 architecture as stated in the paper (https://huggingface.co/papers/2... | {"license": "mit"} | Jaward/phi-3-mini-4k-instruct.Q4_0.gguf | null | [
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"gguf",
"phi3",
"text-generation",
"custom_code",
"arxiv:2404.14219",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T01:51:31+00:00 | [
"2404.14219"
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#transformers #gguf #phi3 #text-generation #custom_code #arxiv-2404.14219 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| 4 bits quantized GGUF weight of phi-3-mini-4k-instruct. Mlx compatible.
Official model: URL (not supported by mlx)
Please note that the official URL model is of llama-2 architecture as stated in the paper (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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_5ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Ins... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_5ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_5ep | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
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"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_5ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1153
- eval_runtime: 3.0995
- eval_samples_per_second: 64.527
- eval_steps_per_se... | [
"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr1e-5_5ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 1.1153\n- eval_runtime: 3.0995\n- eval_samples_per_second: 64.527\n- eval_ste... | [
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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": []} | Ynir/gemma-Code-Instruct-Finetune-test_v2 | null | [
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | transformers | <p align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/646484cfb90150b2706df03b/BEOyMpnnY9VY2KXlc3V2F.png" width="20%"/>
<p>
# Llama-3-MAAL-8B-Instruct-v0.1
we release MAAL, Multilingual Adaptive Augmentation Language-model which comprises a groundbreaking fusion of multilingual capabilitie... | {"language": ["en", "ko"], "license": "llama3", "tags": ["facebook", "meta", "llama", "llama-3", "llama-3-ko"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"]} | maum-ai/Llama-3-MAAL-8B-Instruct-v0.1 | null | [
"transformers",
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"text-generation",
"facebook",
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"license:llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"regi... | null | 2024-04-24T01:59:17+00:00 | [] | [
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] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #llama-3 #llama-3-ko #conversational #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Llama-3-MAAL-8B-Instruct-v0.1
=============================
we release MAAL, Multilingual Adaptive Augmentation Language-model which comprises a groundbreaking fusion of multilingual capabilities and adaptive augmentation techniques.
* Developed by: URL Brain NLP. Jaeyoon Jung, Jinjoo Lee, Yongjae... | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #facebook #meta #llama-3 #llama-3-ko #conversational #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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] |
null | null |
# DavidAU/NEBULA-23.8B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/NEBULA-23.8B-v1.0`](https://huggingface.co/TeeZee/NEBULA-23.8B-v1.0) 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://hugg... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "NEBULA-23... | DavidAU/NEBULA-23.8B-v1.0-Q4_K_M-GGUF | null | [
"gguf",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Intel/orca_dpo_pairs",
"dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW",
"dataset:Open-Orca/SlimOrca",
"dataset:MinervaAI/Aesir-Preview",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:apache-2.0",
"mo... | null | 2024-04-24T01:59:26+00:00 | [] | [
"en"
] | TAGS
#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #en #dataset-Intel/orca_dpo_pairs #dataset-athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW #dataset-Open-Orca/SlimOrca #dataset-MinervaAI/Aesir-Preview #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us
|
# DavidAU/NEBULA-23.8B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/NEBULA-23.8B-v1.0' 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:
... | [
"# DavidAU/NEBULA-23.8B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/NEBULA-23.8B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nC... | [
"TAGS\n#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #en #dataset-Intel/orca_dpo_pairs #dataset-athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW #dataset-Open-Orca/SlimOrca #dataset-MinervaAI/Aesir-Preview #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us \n",
"# DavidA... | [
123,
84,
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"TAGS\n#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #en #dataset-Intel/orca_dpo_pairs #dataset-athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW #dataset-Open-Orca/SlimOrca #dataset-MinervaAI/Aesir-Preview #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us \n# DavidAU/NEBU... |
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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_1ep
This model is a fine-tuned version of [mistralai/Mistral... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_1ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_1ep | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-24T02:04:59+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_1ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6619
- eval_runtime: 4.0815
- eval_samples_per_second: 49.002
- eval_steps... | [
"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_1ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.6619\n- eval_runtime: 4.0815\n- eval_samples_per_second: 49.002\n- e... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us \n",
"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_1ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the ... | [
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"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us \n# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_1ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the follow... |
null | null |
# DavidAU/NEBULA-23.8B-v1.0-Q5_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/NEBULA-23.8B-v1.0`](https://huggingface.co/TeeZee/NEBULA-23.8B-v1.0) 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://hugg... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "NEBULA-23... | DavidAU/NEBULA-23.8B-v1.0-Q5_K_M-GGUF | null | [
"gguf",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Intel/orca_dpo_pairs",
"dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW",
"dataset:Open-Orca/SlimOrca",
"dataset:MinervaAI/Aesir-Preview",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:apache-2.0",
"mo... | null | 2024-04-24T02:07:01+00:00 | [] | [
"en"
] | TAGS
#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #en #dataset-Intel/orca_dpo_pairs #dataset-athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW #dataset-Open-Orca/SlimOrca #dataset-MinervaAI/Aesir-Preview #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us
|
# DavidAU/NEBULA-23.8B-v1.0-Q5_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/NEBULA-23.8B-v1.0' 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:
... | [
"# DavidAU/NEBULA-23.8B-v1.0-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/NEBULA-23.8B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nC... | [
"TAGS\n#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #en #dataset-Intel/orca_dpo_pairs #dataset-athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW #dataset-Open-Orca/SlimOrca #dataset-MinervaAI/Aesir-Preview #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us \n",
"# DavidA... | [
123,
84,
52
] | [
"TAGS\n#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #en #dataset-Intel/orca_dpo_pairs #dataset-athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW #dataset-Open-Orca/SlimOrca #dataset-MinervaAI/Aesir-Preview #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us \n# DavidAU/NEBU... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-rw
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-rw", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name... | NMutangana/whisper-small-rw | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_11_0",
"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T02:08:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_11_0 #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us
| whisper-small-rw
================
This model is a fine-tuned version of openai/whisper-small on the common\_voice\_11\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9918
* Wer: 68.7271
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_11_0 #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were use... | [
67,
126,
5,
44
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"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_11_0 #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used duri... |
text-generation | transformers |
<img src="https://cdn-uploads.huggingface.co/production/uploads/6513cf1397fb08378dea8f3a/U_GONWNvd1h15ZCXZbjxy.png" alt="drawing" style="width:512px;"/>
# Phos 7B
***「どうかお慈悲を もう 疲れ果てました」***
## 生成例
[太字以降がAI生成]
「どうか」
”それ”は懇願した。
「もう一度祈ってくださいませんか」
棒きれのような細い手を伸ばし、縋り付くように。
「誰の為でもなく 僕の為に」
金剛はそれを黙って見つめていた。その顔からは如... | {"language": ["ja"], "tags": ["japanese", "text-generation-inference"]} | Elizezen/Phos-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"japanese",
"text-generation-inference",
"ja",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T02:11:29+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #japanese #text-generation-inference #ja #autotrain_compatible #endpoints_compatible #region-us
|
<img src="URL alt="drawing" style="width:512px;"/>
# Phos 7B
*「どうかお慈悲を もう 疲れ果てました」*
## 生成例
[太字以降がAI生成]
「どうか」
”それ”は懇願した。
「もう一度祈ってくださいませんか」
棒きれのような細い手を伸ばし、縋り付くように。
「誰の為でもなく 僕の為に」
金剛はそれを黙って見つめていた。その顔からは如何なる表情も読み取れない。慈悲とも憐憫とも取れぬ、冷たいとも親身とも言えず、無機質な目が”それ”をじっと見下ろす。
「どうかお慈悲を もう疲れ果てました」
宝石が砕けて擦れ合うようなか細い声で、"それ"は再び... | [
"# Phos 7B\n\n*「どうかお慈悲を もう 疲れ果てました」*",
"## 生成例\n\n[太字以降がAI生成]\n\n\n「どうか」\n\n”それ”は懇願した。\n\n「もう一度祈ってくださいませんか」\n\n棒きれのような細い手を伸ばし、縋り付くように。\n\n「誰の為でもなく 僕の為に」\n\n金剛はそれを黙って見つめていた。その顔からは如何なる表情も読み取れない。慈悲とも憐憫とも取れぬ、冷たいとも親身とも言えず、無機質な目が”それ”をじっと見下ろす。\n\n「どうかお慈悲を もう疲れ果てました」\n\n宝石が砕けて擦れ合うようなか細い声で、\"それ\"は再び 懇願した。\n\n「あなた様の力を分け与えて... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #japanese #text-generation-inference #ja #autotrain_compatible #endpoints_compatible #region-us \n",
"# Phos 7B\n\n*「どうかお慈悲を もう 疲れ果てました」*",
"## 生成例\n\n[太字以降がAI生成]\n\n\n「どうか」\n\n”それ”は懇願した。\n\n「もう一度祈ってくださいませんか」\n\n棒きれのような細い手を伸ばし、縋り付くように。\n\n「誰の為でもなく 僕の為に... | [
38,
25,
635
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #japanese #text-generation-inference #ja #autotrain_compatible #endpoints_compatible #region-us \n# Phos 7B\n\n*「どうかお慈悲を もう 疲れ果てました」*## 生成例\n\n[太字以降がAI生成]\n\n\n「どうか」\n\n”それ”は懇願した。\n\n「もう一度祈ってくださいませんか」\n\n棒きれのような細い手を伸ばし、縋り付くように。\n\n「誰の為でもなく 僕の為に」\n\n金剛はそれを黙... |
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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_2ep
This model is a fine-tuned version of [mistralai/Mistral... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_2ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_2ep | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-24T02:11:56+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_2ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.0486
- eval_runtime: 4.0687
- eval_samples_per_second: 49.155
- eval_steps... | [
"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_2ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.0486\n- eval_runtime: 4.0687\n- eval_samples_per_second: 49.155\n- e... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us \n",
"# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_2ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the ... | [
46,
144,
7,
9,
9,
4,
111,
52
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us \n# mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_Lora_lr1e-5_2ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.\nIt achieves the follow... |
null | null |
# delijoe/ChaoticSoliloquy-4x8B-Q3_K_M-GGUF
This model was converted to GGUF format from [`xxx777xxxASD/ChaoticSoliloquy-4x8B`](https://huggingface.co/xxx777xxxASD/ChaoticSoliloquy-4x8B) 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 ... | {"language": ["en"], "license": "llama3", "tags": ["moe", "llama-cpp", "gguf-my-repo"]} | delijoe/ChaoticSoliloquy-4x8B-Q3_K_M-GGUF | null | [
"gguf",
"moe",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama3",
"region:us"
] | null | 2024-04-24T02:14:32+00:00 | [] | [
"en"
] | TAGS
#gguf #moe #llama-cpp #gguf-my-repo #en #license-llama3 #region-us
|
# delijoe/ChaoticSoliloquy-4x8B-Q3_K_M-GGUF
This model was converted to GGUF format from 'xxx777xxxASD/ChaoticSoliloquy-4x8B' 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:
... | [
"# delijoe/ChaoticSoliloquy-4x8B-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'xxx777xxxASD/ChaoticSoliloquy-4x8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or... | [
"TAGS\n#gguf #moe #llama-cpp #gguf-my-repo #en #license-llama3 #region-us \n",
"# delijoe/ChaoticSoliloquy-4x8B-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'xxx777xxxASD/ChaoticSoliloquy-4x8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model... | [
34,
89,
52
] | [
"TAGS\n#gguf #moe #llama-cpp #gguf-my-repo #en #license-llama3 #region-us \n# delijoe/ChaoticSoliloquy-4x8B-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'xxx777xxxASD/ChaoticSoliloquy-4x8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Us... |
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. -->
# test-finetuned__roberta-base-biomedical-clinical-es__59k-ultrasounds-ner
This model is a fine-tuned version of [manucos/finetune... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "manucos/finetuned__roberta-base-biomedical-clinical-es__59k-ultrasounds", "model-index": [{"name": "test-finetuned__roberta-base-biomedical-clinical-es__59k-ultrasounds-ner", "results": []}... | manucos/test-finetuned__roberta-base-biomedical-clinical-es__59k-ultrasounds-ner | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"token-classification",
"generated_from_trainer",
"base_model:manucos/finetuned__roberta-base-biomedical-clinical-es__59k-ultrasounds",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T02:14:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #token-classification #generated_from_trainer #base_model-manucos/finetuned__roberta-base-biomedical-clinical-es__59k-ultrasounds #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| test-finetuned\_\_roberta-base-biomedical-clinical-es\_\_59k-ultrasounds-ner
============================================================================
This model is a fine-tuned version of manucos/finetuned\_\_roberta-base-biomedical-clinical-es\_\_59k-ultrasounds on the None dataset.
It achieves the following res... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #token-classification #generated_from_trainer #base_model-manucos/finetuned__roberta-base-biomedical-clinical-es__59k-ultrasounds #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following... | [
74,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #token-classification #generated_from_trainer #base_model-manucos/finetuned__roberta-base-biomedical-clinical-es__59k-ultrasounds #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyper... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs256_nodpo_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_1", "model-index": [{"name": "0.001_ablation_5iters_bs256_nodpo_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
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"license:mit",
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"endpo... | null | 2024-04-24T02:14:49+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_5iters_bs256_nodpo_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
"# 0.001_ablation_5iters_bs256_nodpo_iter_2\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and eva... | [
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text-generation | transformers |
<!-- header start -->
<!-- 200823 -->
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[[TheBloke's LLM work is generously supported by a grant from [andreessen horowitz (a16z)](URL)](URL to contribute? TheBloke's Patreon page</a></p>
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<div style=)](URL & support: TheBloke's Discord server</a></p>
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---
CodeLlama 7B Instruct - GPTQ
====================... | [
"# Use cu117 if on CUDA 11.7\nshell\npip3 uninstall -y auto-gptq\ngit clone URL\ncd AutoGPTQ\npip3 install .\nshell\npip3 uninstall -y transformers\npip3 install git+URL\npython\nfrom transformers import AutoModelForCausalLM, AutoTokenizer, pipeline\n\n\nmodel\\_name\\_or\\_path = \"TheBloke/CodeLlama-7B-Instruct-G... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - yehiaa/juggernaut-lora-drew-v1
<Gallery />
## Model description
These are yehiaa/juggernaut-lo... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "SG161222/RealVisXL_V4.0", "instance_prompt": "a portrait of a sks person", "widget": [{... | yehiaa/juggernaut-lora-drew-v1 | null | [
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|
# SDXL LoRA DreamBooth - yehiaa/juggernaut-lora-drew-v1
<Gallery />
## Model description
These are yehiaa/juggernaut-lora-drew-v1 LoRA adaption weights for SG161222/RealVisXL_V4.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
#... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.01_ablation_5iters_bs256_nodpo_iter_2
This model is a fine-tuned version of [ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_1](... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_1", "model-index": [{"name": "0.01_ablation_5iters_bs256_nodpo_iter_2", "results": []}]} | ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_2 | null | [
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"license:mit",
"autotrain_compatible",
"endpoi... | null | 2024-04-24T02:15:39+00:00 | [] | [] | TAGS
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|
# 0.01_ablation_5iters_bs256_nodpo_iter_2
This model is a fine-tuned version of ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
"# 0.01_ablation_5iters_bs256_nodpo_iter_2\n\nThis model is a fine-tuned version of ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evalu... | [
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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": []} | kssumanth6/final_V1t5small_EmpatheticChatbot_ED | null | [
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] | null | 2024-04-24T02:15:56+00:00 | [
"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# DavidAU/General-Stories-Mistral-7B-Q6_K-GGUF
This model was converted to GGUF format from [`ajibawa-2023/General-Stories-Mistral-7B`](https://huggingface.co/ajibawa-2023/General-Stories-Mistral-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to t... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge", "llama-cpp", "gguf-my-repo"], "datasets": ["ajibawa-2023/General-Stories-Collection"]} | DavidAU/General-Stories-Mistral-7B-Q6_K-GGUF | null | [
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# DavidAU/General-Stories-Mistral-7B-Q6_K-GGUF
This model was converted to GGUF format from 'ajibawa-2023/General-Stories-Mistral-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ale045
- **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"} | ale045/llama3_finetune_1 | null | [
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|
# Uploaded model
- Developed by: ale045
- 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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