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XwinCoder 34B 4.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  XwinCoder 34B 4.0bpw H6 EXL2   URL Share it on

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  Autotrain compatible   Codegen   Endpoints compatible   Exl2   Llama   Pytorch   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/XwinCoder-34B-4.0bpw-h6-exl2 

XwinCoder 34B 4.0bpw H6 EXL2 Benchmarks

LLME Score: 0.14135
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XwinCoder 34B 4.0bpw H6 EXL2 (LoneStriker/XwinCoder-34B-4.0bpw-h6-exl2)

XwinCoder 34B 4.0bpw H6 EXL2 Parameters and Internals

Model Type 
code generation
Additional Notes 
XwinCoder models are instruction finetuned code generation models based on CodeLLaMA.
LLM NameXwinCoder 34B 4.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/XwinCoder-34B-4.0bpw-h6-exl2 
Model Size34b
Required VRAM17.4 GB
Updated2025-03-12
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   0.2 GB: 3-of-3
Quantization Typeexl2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/XwinCoder-34B-4.0bpw-h6-exl2.

Rank the XwinCoder 34B 4.0bpw H6 EXL2 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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Release v20241227
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