Bullerwins Codestral 22B V0.1 Hf 2 2bpw EXL2 by Zoyd

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  Autotrain compatible   Code   Exl2   Mistral   Quantized   Region:us   Safetensors

Bullerwins Codestral 22B V0.1 Hf 2 2bpw EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bullerwins Codestral 22B V0.1 Hf 2 2bpw EXL2 (Zoyd/bullerwins_Codestral-22B-v0.1-hf-2_2bpw_exl2)

Bullerwins Codestral 22B V0.1 Hf 2 2bpw EXL2 Parameters and Internals

Model Type 
code generation, fill-in-the-middle
Use Cases 
Primary Use Cases:
Code snippet generation, Code documentation, Code explanation, Factorization, Software development aids
Limitations:
No moderation mechanisms present
Additional Notes 
Codestral-22B-v0.1 is an advanced code generation model supporting multiple languages and programming-related tasks.
Training Details 
Data Sources:
80+ programming languages including Python, Java, C, C++, JavaScript, Bash
Input Output 
Accepted Modalities:
code
LLM NameBullerwins Codestral 22B V0.1 Hf 2 2bpw EXL2
Repository ๐Ÿค—https://huggingface.co/Zoyd/bullerwins_Codestral-22B-v0.1-hf-2_2bpw_exl2 
Model Size22b
Required VRAM6.6 GB
Updated2025-04-16
MaintainerZoyd
Model Typemistral
Model Files  6.6 GB
Supported Languagescode
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Zoyd/bullerwins_Codestral-22B-v0.1-hf-2_2bpw_exl2.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227