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Bigstral 12B 32K by abacusai

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Bigstral 12B 32K is an open-source language model by abacusai. Features: 7b LLM, VRAM: 25GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.23, Arc: 59.6, HellaSwag: 84.1, MMLU: 59.1, GSM8K: 26.5.

  Merged Model Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Instruct   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/abacusai/bigstral-12b-32k 

Bigstral 12B 32K Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 84.11 vs 95.3 (gpt4)-11.7%
MMLU: 59.08 vs 88.3 (so35)-33.1%
GSM8K: 26.46 vs 96.4 (so35)-72.6%
LLME Score: 0.22567
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bigstral 12B 32K (abacusai/bigstral-12b-32k)
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Bigstral 12B 32K Parameters and Internals

Model Type 
text-generation
LLM NameBigstral 12B 32K
Repository 🤗https://huggingface.co/abacusai/bigstral-12b-32k 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Merged ModelYes
Model Size7b
Required VRAM25 GB
Updated2026-05-07
Maintainerabacusai
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.1 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than abacusai/bigstral-12b-32k.

Rank the Bigstral 12B 32K 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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