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Trinity 2 Codestral 22B by migtissera

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Trinity 2 Codestral 22B is an open-source language model by migtissera. Features: 22b LLM, VRAM: 44.7GB, Context: 32K, License: MNPL-0.1, LLM Explorer Score: 0.21.

Base model:finetune:mistralai/... Base model:mistralai/codestral...   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/migtissera/Trinity-2-Codestral-22B 

Trinity 2 Codestral 22B Benchmarks

MMLU Pro: 25.64
GPQA: 8.61
MUSR: 9.61
BBH: 36.41
IFEval: 42.02 vs 88 (so35)-52.3%
MATH Lvl 5: 9.67
LLME Score: 0.21215
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trinity 2 Codestral 22B (migtissera/Trinity-2-Codestral-22B)
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Trinity 2 Codestral 22B Parameters and Internals

Model Type 
Large Language Model, Coding Specific
Use Cases 
Areas:
Coding
Additional Notes 
The compute for this model was sponsored by KindoAI.
Training Details 
Context Length:
2048
Input Output 
Input Format:
ChatML format
Accepted Modalities:
text
Output Format:
text
LLM NameTrinity 2 Codestral 22B
Repository 🤗https://huggingface.co/migtissera/Trinity-2-Codestral-22B 
Base Model(s)  mistralai/Codestral-22B-v0.1   mistralai/Codestral-22B-v0.1
Model Size22b
Required VRAM44.7 GB
Updated2026-04-03
Maintainermigtissera
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9   0.0 GB
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.43.4
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_text|>
Vocabulary Size32771
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/Trinity-2-Codestral-22B.

Rank the Trinity 2 Codestral 22B 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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