LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Trinity 2 Codestral 22B by migtissera

 »  All LLMs  »  migtissera  »  Trinity 2 Codestral 22B   URL Share it on

  1959   
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: 0.3014
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)

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
Updated2025-02-22
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

Best Alternatives to Trinity 2 Codestral 22B

Best Alternatives
Context / RAM
Downloads
Likes
MS Schisandra 22B V0.2128K / 44.7 GB409
...ntheon RP Pure 1.6.2 22B Small128K / 44.7 GB12827
MS Meadowlark 22B128K / 44.7 GB12513
... V4x1.6.2RP Cydonia VXXX 22B 8128K / 44.7 GB3055
... V4x1.6.2RP Cydonia VXXX 22B 6128K / 44.7 GB2862
Beeper King 22B128K / 44.7 GB317
MS Moingooistral 2409 22B128K / 44.7 GB340
MS Dampf 2409 22B128K / 44.7 GB280
MS A Coolyte 2409 22B128K / 44.7 GB280
MS Fujin 2409 22B128K / 44.7 GB270
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

🆘 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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer