Karasu Mixtral 8x22B V0.1 AWQ by lightblue

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  Merged Model   4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Karasu Mixtral 8x22B V0.1 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Karasu Mixtral 8x22B V0.1 AWQ (lightblue/Karasu-Mixtral-8x22B-v0.1-AWQ)

Karasu Mixtral 8x22B V0.1 AWQ Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
Quantized using AutoAWQForCausalLM with 4-bit configuration, zero_point enabled, q_group_size of 128, and version GEMM.
LLM NameKarasu Mixtral 8x22B V0.1 AWQ
Repository ๐Ÿค—https://huggingface.co/lightblue/Karasu-Mixtral-8x22B-v0.1-AWQ 
Merged ModelYes
Model Size19.2b
Required VRAM73.7 GB
Updated2025-02-05
Maintainerlightblue
Model Typemixtral
Model Files  5.0 GB: 1-of-15   5.0 GB: 2-of-15   5.0 GB: 3-of-15   5.0 GB: 4-of-15   5.0 GB: 5-of-15   5.0 GB: 6-of-15   5.0 GB: 7-of-15   5.0 GB: 8-of-15   5.0 GB: 9-of-15   5.0 GB: 10-of-15   5.0 GB: 11-of-15   5.0 GB: 12-of-15   5.0 GB: 13-of-15   5.0 GB: 14-of-15   3.7 GB: 15-of-15
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length65536
Model Max Length65536
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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