Yi 34B 200K DARE Megamerge V8 GPTQ by TheBloke

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  Arxiv:2306.01708   Arxiv:2311.03099   4-bit   Autotrain compatible Base model:brucethemoose/yi-34... Base model:quantized:brucethem...   En   Gptq   Llama   Merge   Mergekit   Quantized   Region:us   Safetensors   Yi

Yi 34B 200K DARE Megamerge V8 GPTQ 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 DARE Megamerge V8 GPTQ Parameters and Internals

LLM NameYi 34B 200K DARE Megamerge V8 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Yi-34B-200K-DARE-megamerge-v8-GPTQ 
Model NameYi 34B 200K DARE MegaMerge V8
Model Creatorbrucethemoose
Base Model(s)  Yi 34B 200K DARE Megamerge V8   brucethemoose/Yi-34B-200K-DARE-megamerge-v8
Model Size34b
Required VRAM18.6 GB
Updated2024-10-18
MaintainerTheBloke
Model Typellama
Model Files  18.6 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16
Yi 34B 200K DARE Megamerge V8 GPTQ (TheBloke/Yi-34B-200K-DARE-megamerge-v8-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-DARE-megamerge-v8-GPTQ.

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