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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SparshSyde/merged_llama3_guard_iter_11_numlabels1_bigger_dataset3_mse | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | happylayers/sc17 | null | [
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text-generation | null |
## Description
This repo contains GGUF format model files for Mistral-7B-Instruct-v0.2.
## Files Provided
| Name | Quant | Bits | File Size | Remark |
| ------------------------------------- | ------- | ---- | --------- | -------------------------------- |
... | {"license": "apache-2.0", "tags": ["finetuned"], "pipeline_tag": "text-generation", "inference": false} | koesn/Mistral-7B-Instruct-v0.2-GGUF | null | [
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| Description
-----------
This repo contains GGUF format model files for Mistral-7B-Instruct-v0.2.
Files Provided
--------------
Parameters
----------
Original Model Card
===================
Model Card for Mistral-7B-Instruct-v0.2
=======================================
The Mistral-7B-Instruct-v0.2 Large La... | [] | [
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text-generation | transformers |
# Gemma 2B Translation v0.124
- Eval Loss: `0.91141`
- Train Loss: `0.75413`
- lr: `1e-04`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos>##English##
Hamsters don't eat cats.
##Korean##
햄스터는 고양이를 먹지 않습니다.<eos>
```
```
<bos>##Korean##
햄스터는 고양이를 먹지 않습니다.
##English##
Hamsters do no... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "widget": [{"messages": [{"role": "user", "content": "Hamsters don't eat cats."}]}], "base_model": "beomi/gemma-ko-2b", "pipeline_tag": "text-generation"} | lemon-mint/gemma-2b-translation-v0.124 | null | [
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|
# Gemma 2B Translation v0.124
- Eval Loss: '0.91141'
- Train Loss: '0.75413'
- lr: '1e-04'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
- Developed by: 'lemon-mint'
- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
- Finetuned from model:... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yash-aswi-bhavah15/gemma-Code-Instruct-Finetune-test | 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 | 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. -->
# RM-HH-Human_helpful_human_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse
This model is a fine-tuned version of [openai-... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "RM-HH-Human_helpful_human_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-Human_helpful_human_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse | null | [
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| RM-HH-Human\_helpful\_human\_loraR64\_40000\_gpt2-large\_shuffleTrue\_extractchosenFalse
========================================================================================
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text-generation | transformers |
# EMO-1.5B:
EMO-1.5B is a powerful language model designed to engage in emotionally intelligent conversations.
## Overview
EMO-1.5B is a state-of-the-art conversational AI model with 1.5 billion parameters. It has been fine-tuned on a diverse corpus of emotional narratives, enabling it to perceive and respond to ... | {"license": "mit", "library_name": "transformers", "widget": [{"example_title": "EMO 1", "messages": [{"role": "system", "content": "You are a helpful and emotional assistant that will always respond in EMO style."}, {"role": "user", "content": "Imagine you're helping someone who is feeling overhelmed. How do you feel ... | OEvortex/EMO-1.5B | null | [
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Meta-Llama-3-70B-GGUF-smashed | null | [
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the meta-llama/Meta-Llama-3-70B model.
--------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
====... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-finer-finetuned
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-finer-finetuned", "results": []}]} | mnoorfawi/distilbert-finer-finetuned | null | [
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| distilbert-finer-finetuned
==========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on a subset of the finer dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0113
* Precision: 0.8234
* Recall: 0.8621
* F1: 0.8423
* Accuracy: 0.9970
Inference
--... | [
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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": []} | Ryoma0302/gpt_0.125B_global_step9000 | null | [
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# Model Card for Model ID
## Model Details
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null | null |
# Dolphin 2.9 Llama 3 70b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations
Discord: https://discord.gg/8fbBeC7ZGx
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" w... | {"language": ["en"], "license": "llama3", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems-200k", "abacus... | LoneStriker/dolphin-2.9-llama3-70b-GGUF | null | [
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"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:microsoft/orc... | null | 2024-04-25T05:52:00+00:00 | [] | [
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# Dolphin 2.9 Llama 3 70b
Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations
Discord: URL
<img src="URL width="600" />
Our appreciation for the sponsors of Dolphin 2.9:
- Crusoe Cloud - provided excellent on-demand 8xH100 node
This m... | [
"# Dolphin 2.9 Llama 3 70b \n\nCurated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations\n\nDiscord: URL\n\n<img src=\"URL width=\"600\" />\n\nOur appreciation for the sponsors of Dolphin 2.9:\n- Crusoe Cloud - provided excellent on-demand 8xH... | [
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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": []} | IbrahimSalah/Quran_syll_to_word4 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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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": []} | kaitchup/Phi-3-mini-4k-instruct-bnb-4bit | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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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/Llama-2-7b-chat-hf"} | 1DS/adapter-title-suggestion-Llama-2-7b-chat-hf-v1 | null | [
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw2.25 | null | [
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"dataset:codeparrot/apps",
"dataset:fac... | null | 2024-04-25T06:00:40+00:00 | [] | [] | TAGS
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
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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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | 1DS/adapter-review-summary-generation-TinyLlama-1.1B-Chat-v1.0-v1 | null | [
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"region:us"
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | adapter-transformers |
# Adapter `SOUMYADEEPSAR/subjadapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [CLEF_subjectivity](https://adapterhub.ml/explore/CLEF_subjectivity/) dataset.
This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapte... | {"tags": ["roberta", "adapter-transformers", "adapterhub:CLEF_subjectivity"], "datasets": ["CLEF_subjectivity"]} | SOUMYADEEPSAR/subjadapter | null | [
"adapter-transformers",
"roberta",
"adapterhub:CLEF_subjectivity",
"dataset:CLEF_subjectivity",
"region:us"
] | null | 2024-04-25T06:03:04+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #adapterhub-CLEF_subjectivity #dataset-CLEF_subjectivity #region-us
|
# Adapter 'SOUMYADEEPSAR/subjadapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the CLEF_subjectivity dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the adapter can be loaded and activated like this:
## Archit... | [
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null | mlx |
# mlx-community/dolphin-2.9-llama3-70b-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.11.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model.
## Use with ... | {"language": ["en"], "license": "llama3", "tags": ["mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-proble... | mlx-community/dolphin-2.9-llama3-70b-4bit | null | [
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"llama",
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"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_200k... | null | 2024-04-25T06:03:05+00:00 | [] | [
"en"
] | TAGS
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# mlx-community/dolphin-2.9-llama3-70b-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.11.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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null | transformers |
# Function Calling and Tool Use LLaMA Models
This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:
1. Fine-tuned version of the `LLama3-8b-instruct` model
2. `tinyllama` - a smaller model version
For each version, the following variants are available:
... | {"language": ["en"], "license": "apache-2.0", "tags": ["function calling", "tool use", "llama", "llama3", "tinyllama", "instruct-tuned", "4-bit quantization", "ggfu", "text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 | null | [
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"license:apache-2.0",
"endpoints_compatible",
... | null | 2024-04-25T06:03:28+00:00 | [] | [
"en"
] | TAGS
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|
# Function Calling and Tool Use LLaMA Models
This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:
1. Fine-tuned version of the 'LLama3-8b-instruct' model
2. 'tinyllama' - a smaller model version
For each version, the following variants are available:
... | [
"# Function Calling and Tool Use LLaMA Models\n\nThis repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:\n\n1. Fine-tuned version of the 'LLama3-8b-instruct' model\n2. 'tinyllama' - a smaller model version\n\nFor each version, the following variants are ... | [
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text-classification | transformers |
# Model Card for deberta-v3-small-prompt-injection-v2
This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) specifically developed to detect and classify prompt injection attacks which can manipulate language models into producing unintended outputs.
It... | {"language": ["en"], "license": "apache-2.0", "tags": ["prompt-injection", "injection", "security", "llm-security", "generated_from_trainer"], "datasets": ["natolambert/xstest-v2-copy", "VMware/open-instruct", "alespalla/chatbot_instruction_prompts", "HuggingFaceH4/grok-conversation-harmless", "Harelix/Prompt-Injection... | protectai/deberta-v3-small-prompt-injection-v2 | null | [
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... | null | 2024-04-25T06:03:35+00:00 | [] | [
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# Model Card for deberta-v3-small-prompt-injection-v2
This model is a fine-tuned version of microsoft/deberta-v3-small specifically developed to detect and classify prompt injection attacks which can manipulate language models into producing unintended outputs.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "my_awesome_model", "results": []}]} | willw9758/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1939
* Accuracy: 0.9526
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. -->
# Mygpt
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "Mygpt", "results": []}]} | threePlates25/MyGPT | null | [
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| Mygpt
=====
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9196
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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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. -->
# albert_model__25_1
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "albert_model__25_1", "results": []}]} | KalaiselvanD/albert_model__25_1 | null | [
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| albert\_model\_\_25\_1
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4995
* Accuracy: 0.7833
Model description
-----------------
More information needed
Intended uses & l... | [
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null | transformers |
# Uploaded model
- **Developed by:** Barrybw
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Barrybw/llama3_test | null | [
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|
# Uploaded model
- Developed by: Barrybw
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffiee/sx1013](https://huggingface.co/coff... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/sx1013", "coffiee/sx1014"]} | Sumail/Ame21 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffiee/sx1013
* coffiee/sx1014
### Configuration
The following YAML configurat... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | spsither/tibetan_RoBERTa_G_v1_867238 | 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 | transformers |
# Alpaca-Llama-3-8B-Lora
- **Fine Tuned using dataset:** https://huggingface.co/datasets/yahma/alpaca-cleaned
- **Epoch Count:** 1
- **Step Count:** 6,470/6,470
- **Batch Size:** 2
- **Gradient Accumulation Steps:** 4
- **Context Size:** 8192
- **Num examples:** 51,760
- **Trainable Parameters:** 41,943,040
- **Lea... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["yahma/alpaca-cleaned"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akumaburn/Alpaca-Llama-3-8B-Lora | null | [
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|
# Alpaca-Llama-3-8B-Lora
- Fine Tuned using dataset: URL
- Epoch Count: 1
- Step Count: 6,470/6,470
- Batch Size: 2
- Gradient Accumulation Steps: 4
- Context Size: 8192
- Num examples: 51,760
- Trainable Parameters: 41,943,040
- Learning Rate: 0.00001
- Training Loss: 0.960000
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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": []} | timiliin123/mistral_b_finance_finetuned_test | 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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_mz-131_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/EleutherA... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-131_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-131_IMDB | null | [
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|
# robust_llm_pythia-31m_mz-131_IMDB
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mithilss/whisper-large-v3-chinese-finetune-epoch-0-custom-dataset | 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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text-generation | transformers |
# Alpaca-Llama-3-8B
- **Fine Tuned using dataset:** https://huggingface.co/datasets/yahma/alpaca-cleaned
- **Epoch Count:** 1
- **Step Count:** 6,470/6,470
- **Batch Size:** 2
- **Gradient Accumulation Steps:** 4
- **Context Size:** 8192
- **Num examples:** 51,760
- **Trainable Parameters:** 41,943,040
- **Learning... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["yahma/alpaca-cleaned"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akumaburn/Alpaca-Llama-3-8B | null | [
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|
# Alpaca-Llama-3-8B
- Fine Tuned using dataset: URL
- Epoch Count: 1
- Step Count: 6,470/6,470
- Batch Size: 2
- Gradient Accumulation Steps: 4
- Context Size: 8192
- Num examples: 51,760
- Trainable Parameters: 41,943,040
- Learning Rate: 0.00001
- Training Loss: 0.960000
- Fined Tuned using: Google Colab Pro (Nvi... | [
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null | mlx |
# mlx-community/dolphin-2.9-llama3-70b-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.11.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model.
## Use with ... | {"language": ["en"], "license": "llama3", "tags": ["mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-proble... | mlx-community/dolphin-2.9-llama3-70b-8bit | null | [
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# mlx-community/dolphin-2.9-llama3-70b-8bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.11.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw2.5 | null | [
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs256_useresponse_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https:/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_5iters_bs256_useresponse_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_1 | null | [
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|
# 0.001_ablation_5iters_bs256_useresponse_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mor... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# model_dl_1
This model is a fine-tuned version of [huggingface-course/bert-finetuned-squad](https://huggingface.co/huggingface-course/b... | {"tags": ["generated_from_keras_callback"], "base_model": "huggingface-course/bert-finetuned-squad", "model-index": [{"name": "model_dl_1", "results": []}]} | 21bce239/model_dl_1 | null | [
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|
# model_dl_1
This model is a fine-tuned version of huggingface-course/bert-finetuned-squad on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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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": []} | 21bce239/tokenizer_dl_1 | null | [
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null | nemo |
# Llama2-7b-nemo
<style>
img {
display: inline;
}
</style>
[](#model-architecture)
| [](#model-architecture)... | {"license": "cc-by-4.0", "library_name": "nemo", "tags": ["pytorch", "NeMo"]} | pe-nlp/llama2-7b-nemo | null | [
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|
# Llama2-7b-nemo
<style>
img {
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}
</style>
| 
| 
Put a short model description here.
See the model architecture section and NeMo documentation for complete architecture details.
## NVIDIA NeMo: Tra... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | spsither/tibetan_RoBERTa_A_v1_770840 | null | [
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# Model Card for Model ID
## Model Details
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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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | 1DS/adapter-title-suggestion-TinyLlama-1.1B-Chat-v1.0-v1 | null | [
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# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** aidiary
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | aidiary/llama3-8b-alpaca-japanese-finetuned | null | [
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|
# Uploaded model
- Developed by: aidiary
- License: apache-2.0
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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 |
# Alpaca-Llama-3-8B
- **Fine Tuned using dataset:** https://huggingface.co/datasets/yahma/alpaca-cleaned
- **Epoch Count:** 1
- **Step Count:** 6,470/6,470
- **Batch Size:** 2
- **Gradient Accumulation Steps:** 4
- **Context Size:** 8192
- **Num examples:** 51,760
- **Trainable Parameters:** 41,943,040
- **Learning... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["yahma/alpaca-cleaned"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akumaburn/Alpaca-Llama-3-8B-GGUF | null | [
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|
# Alpaca-Llama-3-8B
- Fine Tuned using dataset: URL
- Epoch Count: 1
- Step Count: 6,470/6,470
- Batch Size: 2
- Gradient Accumulation Steps: 4
- Context Size: 8192
- Num examples: 51,760
- Trainable Parameters: 41,943,040
- Learning Rate: 0.00001
- Training Loss: 0.960000
- Fined Tuned using: Google Colab Pro (Nvi... | [
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text-generation | transformers | <img src="https://cdn-uploads.huggingface.co/production/uploads/655bb613e8a8971e89944f3e/TSa3V8YpoVagnTYgxiLaO.png" width="200"/>
# Llama-3 8B Gradient Instruct 262k
Gradient incorporates your data to deploy autonomous assistants that power critical operations across your business. To learn more or collaborate on a cu... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3"], "pipeline_tag": "text-generation"} | gradientai/Llama-3-8B-Instruct-262k | null | [
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| <img src="URL width="200"/>
Llama-3 8B Gradient Instruct 262k
=================================
Gradient incorporates your data to deploy autonomous assistants that power critical operations across your business. To learn more or collaborate on a custom model, drop us a message at contact@URL.
This model extends ... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun02](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun02", "motherfucker0/zhun01"]} | motherfucker0/zhen03 | null | [
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] | null | 2024-04-25T06:25:07+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun02
* motherfucker0/zhun01
### Configuration
The following YAM... | [
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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": []} | nrbhole/invoices-donut-model-v1 | null | [
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"1910.09700"
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#transformers #safetensors #vision-encoder-decoder #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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text-generation | transformers |
# phillama-3.8b-v0.1
Phillama is a model based on Phi-3-mini and trained on Llama-generated dataset raincandy-u/Dextromethorphan-10k to make it more "llama-like".
Also, this model is converted int... | {"license": "mit", "library_name": "transformers", "datasets": ["raincandy-u/Dextromethorphan-10k"], "pipeline_tag": "text-generation"} | raincandy-u/phillama-3.8b-v0.1 | null | [
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|
!image/png
# phillama-3.8b-v0.1
Phillama is a model based on Phi-3-mini and trained on Llama-generated dataset raincandy-u/Dextromethorphan-10k to make it more "llama-like".
Also, this model is converted into Llama format, so it will work with any Llama-2/3 workflow.
# System prompt
'You are a humanoid AI assist... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-8B-v1.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["llama-3-8b", "sft", "medical"], "base_model": "johnsnowlabs/JSL-MedLlama-3-8B-v1.0", "quantized_by": "mradermacher"} | mradermacher/JSL-MedLlama-3-8B-v1.0-GGUF | null | [
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"endpoints_compatible",
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"en"
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw3 | null | [
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"dataset:jondurbin/airoboros-3.2",
"dataset:codeparrot/apps",
"dataset:fac... | null | 2024-04-25T06:28:49+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #llama-3 #bagel #conversational #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-... | A bagel, with everything (except DPO)
=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffiee/sx1014](https://huggingface.co/coff... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/sx1014", "coffie3/sx1015"]} | Sumail/Ame22 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffiee/sx1014
* coffie3/sx1015
### Configuration
The following YAML configurat... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-70m_mz-131_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherA... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-131_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-131_IMDB | null | [
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"autotrain_compatible",
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|
# robust_llm_pythia-70m_mz-131_IMDB
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Train... | [
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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": []} | SulthanTriesToCode/Meta-Llama-3-8B-Instruct-DoNot | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-to-image | null | LoRa
Base model: stabilityai/stable-diffusion-xl-base-1.0
Training dataset:
Regularization dataset (optional):
Token name: tazzan_sks person | {"pipeline_tag": "text-to-image"} | TrgTuan10/lora_tazan | null | [
"text-to-image",
"region:us"
] | null | 2024-04-25T06:33:59+00:00 | [] | [] | TAGS
#text-to-image #region-us
| LoRa
Base model: stabilityai/stable-diffusion-xl-base-1.0
Training dataset:
Regularization dataset (optional):
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text-generation | transformers |
# Model Card for Model ID
I dont kknow what im doing wrong bro
<!-- 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 ... | {"library_name": "transformers", "tags": []} | gate369/m7-orpo-bitnet | null | [
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
I dont kknow what im doing wrong bro
## 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 ty... | [
"# Model Card for Model ID\nI dont kknow what im doing wrong bro",
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text-generation | null |
# Internist.ai base-7b-v0.2-GGUF
- This is quantized version of [internistai/base-7b-v0.2](https://huggingface.co/internistai/base-7b-v0.2) created using llama.cpp
## Model Details
Internist.ai 7b is a medical domain large language model trained by medical doctors to demonstrate the benefits of a **physician-in-the... | {"language": ["en"], "license": "apache-2.0", "tags": ["medical"], "datasets": ["Open-Orca/OpenOrca", "pubmed", "medmcqa", "maximegmd/medqa_alpaca_format"], "metrics": ["accuracy"], "tag": "text-generation", "base_model": "internistai/base-7b-v0.2", "pipeline_tag": "text-generation"} | QuantFactory/internistai-base-7b-v0.2-GGUF | null | [
"gguf",
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"dataset:Open-Orca/OpenOrca",
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"base_model:internistai/base-7b-v0.2",
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| URL base-7b-v0.2-GGUF
=====================
* This is quantized version of internistai/base-7b-v0.2 created using URL
Model Details
-------------
URL 7b is a medical domain large language model trained by medical doctors to demonstrate the benefits of a physician-in-the-loop approach. The training data was carefu... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/FabioA810/Llama-3-8B-ForexConcepts
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "FabioA810/Llama-3-8B-ForexConcepts", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-ForexConcepts-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Barrybw
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Barrybw/llama3_finetune_by_colab_unsloth_1 | null | [
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|
# Uploaded model
- Developed by: Barrybw
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_5iters_bs256_useresponse_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://h... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_5iters_bs256_useresponse_iter_1", "results": []}]} | ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_1 | null | [
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|
# 0.0_ablation_5iters_bs256_useresponse_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More ... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# db-finetuned-ner
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "db-finetuned-ner", "results": []}]} | Yash907/db-finetuned-NER | null | [
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| db-finetuned-ner
================
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0859
* Precision: 0.9211
* Recall: 0.9424
* F1: 0.9211
* Accuracy: 0.9843
Model description
-----------------
More information n... | [
"### 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: 3",
"### Training... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llava_siglip_llama3_8b_finetune_8192
This model is a fine-tuned version of [MFuyu/llava_siglip_llama3_8b_pretrain_8192](https://... | {"tags": ["generated_from_trainer"], "base_model": "MFuyu/llava_siglip_llama3_8b_pretrain_8192", "model-index": [{"name": "llava_siglip_llama3_8b_finetune_8192", "results": []}]} | MFuyu/llava_siglip_llama3_8b_finetune_8192 | null | [
"transformers",
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"llava",
"pretraining",
"generated_from_trainer",
"base_model:MFuyu/llava_siglip_llama3_8b_pretrain_8192",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T06:41:19+00:00 | [] | [] | TAGS
#transformers #safetensors #llava #pretraining #generated_from_trainer #base_model-MFuyu/llava_siglip_llama3_8b_pretrain_8192 #endpoints_compatible #region-us
|
# llava_siglip_llama3_8b_finetune_8192
This model is a fine-tuned version of MFuyu/llava_siglip_llama3_8b_pretrain_8192 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trainin... | [
"# llava_siglip_llama3_8b_finetune_8192\n\nThis model is a fine-tuned version of MFuyu/llava_siglip_llama3_8b_pretrain_8192 on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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"# llava_siglip_llama3_8b_finetune_8192\n\nThis model is a fine-tuned version of MFuyu/llava_siglip_llama3_8b_pretrain_8192 on an unknown datas... | [
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text-to-image | diffusers | # Cars Image Training
<Gallery />
## Trigger words
You should use `cars` to trigger the image generation.
You should use `sports car` to trigger the image generation.
You should use `supra` to trigger the image generation.
You should use `toyota` to trigger the image generation.
## Download model
Weights for ... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "image of a car travelling on a bridge", "parameters": {"negative_prompt": "NA"}, "output": {"url": "images/eamBooth_output_image.jpg"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prom... | DileepPatruni/CarsImageTraining | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-25T06:42:31+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # Cars Image Training
<Gallery />
## Trigger words
You should use 'cars' to trigger the image generation.
You should use 'sports car' to trigger the image generation.
You should use 'supra' to trigger the image generation.
You should use 'toyota' to trigger the image generation.
## Download model
Weights for ... | [
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"## Downloa... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw3.5 | null | [
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"dataset:fac... | null | 2024-04-25T06:43:26+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #llama-3 #bagel #conversational #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-... | A bagel, with everything (except DPO)
=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
"### Data sources\n\n\nThere are many data sources used in the bagel models. See URL for more information.\n\n\n***Only train splits are used, and a decontamination by cosine similarity is performed at the end as a sanity check against common benchmarks. If you don't know the difference between train and test, plea... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-turkish-300m-4
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["fleurs"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-turkish-300m-4", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"... | tgrhn/wav2vec2-turkish-300m-4 | null | [
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"endpoints_compatible",
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] | null | 2024-04-25T06:43:48+00:00 | [] | [] | TAGS
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| wav2vec2-turkish-300m-4
=======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2826
* Wer: 0.2126
Model description
-----------------
More information needed
Intended uses & limitation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 4\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* lr\\_scheduler\\_warmup\\_steps... | [
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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": []} | mrmuminov/wav2vec2-large-xls-r-300m-uzbek-colab | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
```
e88 88e d8
d888 888b 8888 8888 ,"Y88b 888 8e d88
C8888 8888D 8888 8888 "8" 888 888 88b d88888
Y888 888P Y888 888P ,ee 888 888 888 888
"88 88" "88 88" "88 888 888 888 888
b
8b, ... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | Quant-Cartel/Llama-3-8B-EGO-exl2-rpcal | null | [
"not-for-all-audiences",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-25T06:48:43+00:00 | [] | [] | TAGS
#not-for-all-audiences #license-cc-by-nc-4.0 #region-us
|
# Llama-3-8B-Instruct-DADA-exl2-rpcal
Quantized using 200 samples of 8192 tokens from an RP-oriented PIPPA dataset.
Branches:
- 'main' -- 'URL'
- '8b8h' -- 8bpw, 8bit lm_head
- '6b6h' -- 6bpw, 6bit lm_head
- '4b6h' -- 4bpw, 6bit lm_head
Original model link: Envoid/Llama-3-8B-EGO
Original model README below.
----... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | selllll/llama-2-7b-chat-seonui | null | [
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"pytorch",
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"region:us"
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#peft #pytorch #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-poison-20p
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-h... | {"license": "llama2", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama-poison-20p", "results": []}]} | Jackie999/llama-poison-20p | null | [
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| llama-poison-20p
================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9404
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mithilss/whisper-large-v3-chinese-finetune-epoch-1-custom-dataset | 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. -->
# 0.001_ablation_4iters_bs128_nodpo_iter_4
This model is a fine-tuned version of [ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_3", "model-index": [{"name": "0.001_ablation_4iters_bs128_nodpo_iter_4", "results": []}]} | ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_4 | null | [
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# 0.001_ablation_4iters_bs128_nodpo_iter_4
This model is a fine-tuned version of ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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null | transformers |
# Uploaded model
- **Developed by:** hanifsyarubany10
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | hanifsyarubany10/gemma-7b-50epochs-Unsloth-FreedomIntelligence-indo-1e-3 | null | [
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# Uploaded model
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null | adapter-transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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null | null |
# sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview-pytorch-v0.1-Q4_0-GGUF
This model was converted to GGUF format from [`sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview-pytorch-v0.1`](https://huggingface.co/sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview-pytorch-v0.1) using llama.cpp... | {"license": "other", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "beomi/Llama-3-Open-Ko-8B-Instruct-preview", "model-index": [{"name": "out", "results": []}]} | sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview-pytorch-v0.1-Q4_0-GGUF | null | [
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# sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview-pytorch-v0.1-Q4_0-GGUF
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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": []} | kienlt/llama-8b-adapter | 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": []} | shtapm/whisper-large_0425_LoRA_all | null | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw3.7 | null | [
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
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null | mlx |
# mlx-community/Xwin-MLewd-13B-V0.2-4bit
This model was converted to MLX format from [`Undi95/Xwin-MLewd-13B-V0.2`]().
Refer to the [original model card](https://huggingface.co/Undi95/Xwin-MLewd-13B-V0.2) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load,... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "mlx"]} | mlx-community/Xwin-MLewd-13B-V0.2-4bit | null | [
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|
# mlx-community/Xwin-MLewd-13B-V0.2-4bit
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Refer to the original model card for more details on the model.
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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. -->
# Bevo-Budv1.1
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "Bevo-Budv1.1", "results": []}]} | Kelechie/Bevo-Budv1.1 | null | [
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|
# Bevo-Budv1.1
This model is a fine-tuned version of distilbert/distilgpt2 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 hyperparameters
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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": []} | Iyan/2024-04-25 | 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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2_test
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unkn... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "gpt2_test", "results": []}]} | qminh369/gpt2_test | null | [
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# gpt2_test
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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null | null | ### 模型说明
#### 基于RWKV6-v2.1-3B 全新基模微调的nsfw语C模型
#### 非常感谢<b style="color:red">某不知名的神秘网友</b>提供的784条Claude超长上下文语料（单条长度超过120k），此模型也是基于该语料进行的实验性质微调
#### 使用7k长上下文微调19epoch后loss为1.7得到的模型
#### 因为超长上下文，继续微调应该还能提升效果，暂时只做测试，后续我会进行全面微调，敬请期待
#### 效果如下：
##### <b style="color:red">注意：使用该模型需要自定义上文，以下演示回复模型输出的第一句到第二句都为手动定义</b>
![image/... | {"license": "mit"} | Seikaijyu/RWKV-x060-World-3B-v2.1-Claude-nsfw.roleplay | null | [
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#### 效果如下：
##### <b style="color:red">注意：使用该模型需要自定义上文，以下演示回复模型输出的第一句到第二句都为手动定义</b>
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null | null |
# sosoai/llama3-8b-16k-test-Q4_K_S-GGUF
This model was converted to GGUF format from [`sosoai/llama3-8b-16k-test`](https://huggingface.co/sosoai/llama3-8b-16k-test) 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://hu... | {"tags": ["llama-cpp", "gguf-my-repo"]} | sosoai/llama3-8b-16k-test-Q4_K_S-GGUF | null | [
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# sosoai/llama3-8b-16k-test-Q4_K_S-GGUF
This model was converted to GGUF format from 'sosoai/llama3-8b-16k-test' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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null | transformers |
# Uploaded model
- **Developed by:** dreamthehacker
- **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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dreamthehacker/alpacafinetunedllama3 | 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": ["unsloth"]} | muharamesa/cobaMistralv3 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun01](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun01"]} | motherfucker0/zhen04 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
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The following models were included in the merge:
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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. -->
# Llama-2-7b-chat-hf_fictional_arc_easy_english_v1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://h... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "Llama-2-7b-chat-hf_fictional_arc_easy_english_v1", "results": []}]} | yzhuang/Llama-2-7b-chat-hf_fictional_arc_easy_english_v1 | null | [
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|
# Llama-2-7b-chat-hf_fictional_arc_easy_english_v1
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-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. -->
# taskA-base-model-0.0.0
This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) o... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "vinai/bertweet-base", "model-index": [{"name": "taskA-base-model-0.0.0", "results": []}]} | seek007/taskA-base-model-0.0.0 | null | [
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|
# taskA-base-model-0.0.0
This model is a fine-tuned version of vinai/bertweet-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2262
- Accuracy: 0.7477
- Precision: 0.4965
- Recall: 0.6110
- F1: 0.5478
- Classification report: : precision recall f1-sco... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw4 | null | [
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
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text-generation | transformers |
# Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.1
Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [hiieu/Met... | {"tags": ["merge", "mergekit", "lazymergekit", "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode", "Orenguteng/Lexi-Llama-3-8B-Uncensored", "NousResearch/Meta-Llama-3-8B", "NousResearch/Meta-Llama-3-8B-Instruct"], "base_model": ["hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode", "Orenguteng/Lexi-Llam... | Nhoodie/Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.1 | null | [
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# Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.1
Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.1 is a merge of the following models using LazyMergekit:
* hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
* Orenguteng/Lexi-Llama-3-8B-Uncensored
*... | [
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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": []} | NAVEENRAJ007/naveen-opt-125m-gptq-4bit | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # About this model
This model can handle (limited) TSF content. If you Character Card have complex plot, maybe you should try other model (maybe bigger parameter?).
- Early stop version of https://huggingface.co/Alsebay/Narumashi-11B , expect to no overfitting when finetune, maybe good ?
Do you know TSF, TS, TG? A ... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "Roleplay", "roleplay"], "base_model": "Sao10K/Fimbulvetr-11B-v2"} | Alsebay/Narumashi-11B-v0.9 | null | [
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| # About this model
This model can handle (limited) TSF content. If you Character Card have complex plot, maybe you should try other model (maybe bigger parameter?).
- Early stop version of URL , expect to no overfitting when finetune, maybe good ?
Do you know TSF, TS, TG? A lot of model don't really know about that... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | jiaqianwu/rl_course_vizdoom_health_gathering_supreme | null | [
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#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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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": []} | 0x9/pt1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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. -->
# Codebert-Code-finetuned
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codeber... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base", "model-index": [{"name": "Codebert-Code-finetuned", "results": []}]} | elinaparajuli/Codebert-Code-finetuned | null | [
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| Codebert-Code-finetuned
=======================
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0005
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermac... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-m... | mradermacher/dolphin-2.9-llama3-70b-i1-GGUF | null | [
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-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | 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.
... | {"library_name": "diffusers"} | gtsru/sn17-dek-012 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | tuandunghcmut/vit-base-patch16-224-finetuned-lora-oxfordPets | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw4.2 | null | [
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
"### Data sources\n\n\nThere are many data sources used in the bagel models. See URL for more information.\n\n\n***Only train splits are used, and a decontamination by cosine similarity is performed at the end as a sanity check against common benchmarks. If you don't know the difference between train and test, plea... | [
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text-generation | transformers | <div align="center">
<img src="assets/a.png" />
<h1>Bumblebee</h1>
<h3>Surpassed Close-Source Models: A Breakthrough in Open-Source Advancements</h3>
<p align="center">
weights <a href="https://huggingface.co/MonolithFoundation/Bumblebee">🤗</a> | <a href="https://github.com/MonolithFoundation/Bumblebee/issues/1"> w... | {"language": ["zh"], "license": "apache-2.0", "tags": ["vlm", "MLLM", "Multi-Modal LLM"], "datasets": ["HuggingFaceFW/fineweb", "YanweiLi/MGM-Instruction"]} | MonolithFoundation/Bumblebee | null | [
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|
Bumblebee
=========
### Surpassed Close-Source Models: A Breakthrough in Open-Source Advancements
weights [|](URL | <a href=)
As the result suggested, Bumblebee might be one of the most capable Chinese MLLM opensourced as for now.
It shows good abilities at:
* OCR understanding;
* Reaso... | [
"### Surpassed Close-Source Models: A Breakthrough in Open-Source Advancements\n\n\n\n weights [|](URL | <a href=) \n\n\nAs the result suggested, Bumblebee might be one of the most capable Chinese MLLM opensourced as for now.\n\n\nIt shows good abilities at:\n\n\n* OCR understanding;\n* Reasoning;\n* Table and Gra... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun01](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun01", "motherfucker0/zhun02"]} | motherfucker0/zhen05 | null | [
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"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-25T07:30:44+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun01
* motherfucker0/zhun02
### Configuration
The following YAM... | [
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text-generation | transformers |
# Qwen1.5-110B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B dense models, an... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-110B | null | [
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|
# Qwen1.5-110B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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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": []} | lxsure/Sniper_34 | 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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