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OpenHermes 2.5 Mistral 7B Mlx 4bit by cogbuji

 »  All LLMs  »  cogbuji  »  OpenHermes 2.5 Mistral 7B Mlx 4bit   URL Share it on

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  4bit Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Chatml   Dataset:teknium/openhermes-2.5   Distillation   En   Finetuned   Gpt4   Instruct   Mistral   Mlx   Quantized   Region:us   Safetensors   Synthetic data
Model Card on HF 🤗: https://huggingface.co/cogbuji/OpenHermes-2.5-Mistral-7B-mlx-4bit 

OpenHermes 2.5 Mistral 7B Mlx 4bit Benchmarks

LLME Score: 0.1727
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenHermes 2.5 Mistral 7B Mlx 4bit (cogbuji/OpenHermes-2.5-Mistral-7B-mlx-4bit)

OpenHermes 2.5 Mistral 7B Mlx 4bit Parameters and Internals

Model Type 
instruct, finetune, chatml, gpt4, synthetic data, distillation, mlx
Additional Notes 
This model was converted to MLX format from teknium/OpenHermes-2.5-Mistral-7B and quantized to 4-bit format. It should be used with the specified versions of mlx and mlx_lm as later versions may deprecate this model.
LLM NameOpenHermes 2.5 Mistral 7B Mlx 4bit
Repository 🤗https://huggingface.co/cogbuji/OpenHermes-2.5-Mistral-7B-mlx-4bit 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM4.3 GB
Updated2025-02-22
Maintainercogbuji
Model Typemistral
Model Files  4.3 GB   4.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cogbuji/OpenHermes-2.5-Mistral-7B-mlx-4bit.

Rank the OpenHermes 2.5 Mistral 7B Mlx 4bit Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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