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Mini Mixtral V0.2 by NeuralNovel

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Mini Mixtral V0.2 is an open-source language model by NeuralNovel. Features: 7b LLM, VRAM: 25.8GB, Context: 32K, License: apache-2.0, Instruction-Based, HF Score: 64, LLM Explorer Score: 0.14, Arc: 61.3, HellaSwag: 84.1, MMLU: 63.8, TruthfulQA: 50.4, WinoGrande: 78.9, GSM8K: 45.6.

  Arxiv:2101.03961   Autotrain compatible Base model:merge:mistralai/mis... Base model:merge:unsloth/mistr... Base model:mistralai/mistral-7... Base model:unsloth/mistral-7b-...   Endpoints compatible   Frankenmoe   Instruct   Lazymergekit   Merge   Mergekit Mistralai/mistral-7b-instruct-...   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Unsloth/mistral-7b-v0.2
Model Card on HF 🤗: https://huggingface.co/NeuralNovel/Mini-Mixtral-v0.2 

Mini Mixtral V0.2 Benchmarks

ARC: 61.26 vs 96.7 (so35)-36.6%
HellaSwag: 84.12 vs 95.3 (gpt4)-11.7%
MMLU: 63.83 vs 88.3 (so35)-27.7%
TruthfulQA: 50.36 vs 59 (gpt4)-14.6%
WinoGrande: 78.85 vs 87.5 (gpt4)-9.9%
GSM8K: 45.56 vs 96.4 (so35)-52.7%
LLME Score: 0.14236
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mini Mixtral V0.2 (NeuralNovel/Mini-Mixtral-v0.2)
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Mini Mixtral V0.2 Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Additional Notes 
This model is a fusion of the unsloth/mistral-7b-v0.2 and mistralai/Mistral-7B-Instruct-v0.2 models using the LazyMergekit.
LLM NameMini Mixtral V0.2
Repository 🤗https://huggingface.co/NeuralNovel/Mini-Mixtral-v0.2 
Base Model(s)  unsloth/mistral-7b-v0.2   mistralai/Mistral-7B-Instruct-v0.2   unsloth/mistral-7b-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM25.8 GB
Updated2025-09-24
MaintainerNeuralNovel
Model Typemixtral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-13   2.0 GB: 2-of-13   2.0 GB: 3-of-13   2.0 GB: 4-of-13   2.0 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.0 GB: 8-of-13   2.0 GB: 9-of-13   2.0 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   1.9 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Mini Mixtral V0.2 Capabilities

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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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