XwinCoder 34B 4.0bpw H6 EXL2 by LoneStriker

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  Autotrain compatible   Codegen   Endpoints compatible   Exl2   Llama   Pytorch   Quantized   Region:us   Sharded   Tensorflow

XwinCoder 34B 4.0bpw H6 EXL2 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 4.0bpw H6 EXL2 Parameters and Internals

LLM NameXwinCoder 34B 4.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/XwinCoder-34B-4.0bpw-h6-exl2 
Model Size34b
Required VRAM17.4 GB
Updated2024-09-07
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
XwinCoder 34B 4.0bpw H6 EXL2 (LoneStriker/XwinCoder-34B-4.0bpw-h6-exl2)

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803