XwinCoder 34B AWQ by TheBloke

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XwinCoder 34B AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.3GB, Context: 16K, License: llama2, Quantized, LLM Explorer Score: 0.1.

  4-bit   Awq Base model:quantized:xwin-lm/x... Base model:xwin-lm/xwincoder-3...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

XwinCoder 34B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XwinCoder 34B AWQ (TheBloke/XwinCoder-34B-AWQ)

XwinCoder 34B AWQ Parameters and Internals

Model Type 
llama
LLM NameXwinCoder 34B AWQ
Repository 🤗https://huggingface.co/TheBloke/XwinCoder-34B-AWQ 
Model NameXwinCoder 34B
Model CreatorXwin-LM
Base Model(s)  XwinCoder 34B   Xwin-LM/XwinCoder-34B
Model Size34b
Required VRAM18.3 GB
Updated2026-07-16
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-2   8.4 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/XwinCoder-34B-AWQ.

Rank the XwinCoder 34B AWQ 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 v20260328a