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Codestral 21B Pruned by TroyDoesAI

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Model Card on HF 🤗: https://huggingface.co/TroyDoesAI/Codestral-21B-Pruned 

Codestral 21B Pruned Benchmarks

LLME Score: 0.1928
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codestral 21B Pruned (TroyDoesAI/Codestral-21B-Pruned)

Codestral 21B Pruned Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
story generation, code generation, knowledge retrieval, chatbots, personal assistants
Primary Use Cases:
text generation, retrieval augmented generation
Limitations:
unaligned behavior, bad alignment
Considerations:
Consider memory usage optimization due to model size.
Additional Notes 
Every GB of saved memory counts when offloading to System RAM!
Supported Languages 
en (proficient)
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Consider using quantization for efficiency.
Release Notes 
Version:
v0.1
Notes:
21.5B parameters, pruned from 22.2B by removing two layers.
LLM NameCodestral 21B Pruned
Repository 🤗https://huggingface.co/TroyDoesAI/Codestral-21B-Pruned 
Model Size21b
Required VRAM43.1 GB
Updated2025-02-05
MaintainerTroyDoesAI
Model Typemistral
Model Files  4.9 GB: 1-of-9   4.9 GB: 2-of-9   5.0 GB: 3-of-9   5.0 GB: 4-of-9   4.9 GB: 5-of-9   5.0 GB: 6-of-9   5.0 GB: 7-of-9   4.9 GB: 8-of-9   3.5 GB: 9-of-9
Supported Languagesen
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 TroyDoesAI/Codestral-21B-Pruned.

Rank the Codestral 21B Pruned 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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