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XwinCoder 34B 4.0bpw H6 EXL2 by LoneStriker

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XwinCoder 34B 4.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 34b LLM, VRAM: 17.4GB, Context: 16K, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.1.

  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: 0.10288
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)
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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
Updated2025-09-23
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

Best Alternatives to XwinCoder 34B 4.0bpw H6 EXL2

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CodeLlama 34B Instruct Hf 4bit16K / 19.4 GB622
CodeLlama 34B Instruct Fp1616K / 67.5 GB28196
CodeLlama 34B Python Fp1616K / 67.5 GB137714
Codellama Extraction16K / 67.6 GB50
Phind Codellama 34B V2 EXL216K /  GB916
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Codellama 34B Bnb 4bit16K / 18.2 GB1594
...Codellama 34B V2 Megacode EXL216K /  GB710
...gpt 32K Codellama 34B Instruct32K / 67.5 GB5022
CodeLlama 34B Instruct Hf16K / 67.5 GB21226304
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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