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Yi 34B 200K DARE Megamerge V8 AWQ by TheBloke

By TheBloke · 10 downloads

Yi 34B 200K DARE Megamerge V8 AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 19.3GB, Context: 195K, License: other, Quantized, LLM Explorer Score: 0.1.

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

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

Model Type 
yi
Supported Languages 
en (English)
LLM NameYi 34B 200K DARE Megamerge V8 AWQ
Repository πŸ€—https://huggingface.co/TheBloke/Yi-34B-200K-DARE-megamerge-v8-AWQ 
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 VRAM19.3 GB
Updated2026-08-06
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
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-DARE-megamerge-v8-AWQ.