Yi 34B 200K Llamafied AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:larryvrh/yi-34b-200... Base model:quantized:larryvrh/...   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh

Yi 34B 200K Llamafied AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34B 200K Llamafied AWQ (TheBloke/Yi-34B-200K-Llamafied-AWQ)

Yi 34B 200K Llamafied AWQ Parameters and Internals

Model Type 
yi
Additional Notes 
Quantized using AWQ, an efficient low-bit weight quantization method, with options available for various quantization parameters.
Supported Languages 
zh (Chinese), en (English)
Input Output 
Input Format:
{prompt}
Output Format:
LLM NameYi 34B 200K Llamafied AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Yi-34B-200K-Llamafied-AWQ 
Model NameYi 34B 200K Llamafied
Model Creatorlarryvrh
Base Model(s)  Yi 34B 200K Llamafied   larryvrh/Yi-34B-200K-Llamafied
Model Size34b
Required VRAM19.3 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
Supported Languageszh en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.35.0
Tokenizer ClassYiTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-Llamafied-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227