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NousHermes Mixtral 8x7B Reddit Mlx by mlx-community

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NousHermes Mixtral 8x7B Reddit Mlx is an open-source language model by mlx-community. Features: 7.5b LLM, VRAM: 26.6GB, Context: 32K, License: apache-2.0, MoE, LLM Explorer Score: 0.12.

Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Chatml   Distillation   Dpo   En   Finetuned   Gpt4   Instruct   Mixtral   Mlx   Moe   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx 

NousHermes Mixtral 8x7B Reddit Mlx Benchmarks

LLME Score: 0.11663
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NousHermes Mixtral 8x7B Reddit Mlx (mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx)
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NousHermes Mixtral 8x7B Reddit Mlx Parameters and Internals

Model Type 
chatml, DPO, RLHF, instruct, finetune
Additional Notes 
This model was converted to MLX format from `mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit`.
LLM NameNousHermes Mixtral 8x7B Reddit Mlx
Repository 🤗https://huggingface.co/mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx 
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Model Size7.5b
Required VRAM26.6 GB
Updated2026-05-24
Maintainermlx-community
Model Typemixtral
Model Files  5.3 GB: 1-of-5   5.4 GB: 2-of-5   5.3 GB: 3-of-5   5.4 GB: 4-of-5   5.2 GB: 5-of-5
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

Best Alternatives to NousHermes Mixtral 8x7B Reddit Mlx

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SJT Moe2x7.5B32K / 21.1 GB191
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx.

Rank the NousHermes Mixtral 8x7B Reddit Mlx Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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