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Mistral Math 2x7b Mix by AmeerH

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  Autotrain compatible Base model:merge:meta-math/met... Base model:merge:mistralai/mis... Base model:meta-math/metamath-... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Frankenmoe   Instruct   Lazymergekit   Merge   Mergekit   Meta-math/metamath-mistral-7b Mistralai/mistral-7b-instruct-...   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AmeerH/Mistral-Math-2x7b-mix 

Mistral Math 2x7b Mix Benchmarks

LLME Score: 0.17013
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Math 2x7b Mix (AmeerH/Mistral-Math-2x7b-mix)

Mistral Math 2x7b Mix Parameters and Internals

Model Type 
moe, frankenmoe, merge, mergekit, lazymergekit
Additional Notes 
Mistral-Math-2x7b-mix is a Mixture of Experts (MoE) model made by combining mistralai/Mistral-7B-Instruct-v0.2 and meta-math/MetaMath-Mistral-7B models using LazyMergekit.
LLM NameMistral Math 2x7b Mix
Repository 🤗https://huggingface.co/AmeerH/Mistral-Math-2x7b-mix 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   MetaMath Mistral 7B   mistralai/Mistral-7B-Instruct-v0.2   meta-math/MetaMath-Mistral-7B
Model Size12.9b
Required VRAM25.8 GB
Updated2025-03-12
MaintainerAmeerH
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 Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB180
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MergedExperts 2x8b32K / 25.8 GB80
Orthogonal 2x7B Base32K / 25.8 GB17750
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...tral 7B Instruct V0.2 2x7B MoE32K / 25.8 GB11314
Note: green Score (e.g. "73.2") means that the model is better than AmeerH/Mistral-Math-2x7b-mix.

Rank the Mistral Math 2x7b Mix 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  
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Release v20241227
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