Codestral 19B Pass by allknowingroger

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  Merged Model   Autotrain compatible Base model:finetune:legraphist... Base model:legraphista/codestr...   Endpoints compatible Legraphista/codestral-22b-v0.1...   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Codestral 19B Pass Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codestral 19B Pass (allknowingroger/Codestral-19B-pass)

Codestral 19B Pass Parameters and Internals

Model Type 
text generation
Input Output 
Input Format:
Chat messages turned into a prompt.
Accepted Modalities:
text
Output Format:
Generated text.
LLM NameCodestral 19B Pass
Repository ๐Ÿค—https://huggingface.co/allknowingroger/Codestral-19B-pass 
Base Model(s)  legraphista/Codestral-22B-v0.1-hf-FIM-fix   legraphista/Codestral-22B-v0.1-hf-FIM-fix   legraphista/Codestral-22B-v0.1-hf-FIM-fix   legraphista/Codestral-22B-v0.1-hf-FIM-fix
Merged ModelYes
Model Size22b
Required VRAM39 GB
Updated2025-02-17
Maintainerallknowingroger
Model Typemistral
Model Files  0.8 GB: 1-of-41   1.0 GB: 2-of-41   1.0 GB: 3-of-41   1.0 GB: 4-of-41   1.0 GB: 5-of-41   1.0 GB: 6-of-41   0.8 GB: 7-of-41   1.0 GB: 8-of-41   1.0 GB: 9-of-41   1.0 GB: 10-of-41   1.0 GB: 11-of-41   0.8 GB: 12-of-41   1.0 GB: 13-of-41   1.0 GB: 14-of-41   1.0 GB: 15-of-41   1.0 GB: 16-of-41   0.8 GB: 17-of-41   1.0 GB: 18-of-41   1.0 GB: 19-of-41   1.0 GB: 20-of-41   0.8 GB: 21-of-41   1.0 GB: 22-of-41   0.8 GB: 23-of-41   1.0 GB: 24-of-41   1.0 GB: 25-of-41   1.0 GB: 26-of-41   1.0 GB: 27-of-41   1.0 GB: 28-of-41   1.0 GB: 29-of-41   0.9 GB: 30-of-41   1.0 GB: 31-of-41   1.0 GB: 32-of-41   1.0 GB: 33-of-41   0.9 GB: 34-of-41   1.0 GB: 35-of-41   1.0 GB: 36-of-41   1.0 GB: 37-of-41   1.0 GB: 38-of-41   1.0 GB: 39-of-41   0.8 GB: 40-of-41   0.6 GB: 41-of-41
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/Codestral-19B-pass.

Rank the Codestral 19B Pass Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227