Breeze 7B Instruct V1.0 AWQ by YC-Chen

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors

Breeze 7B Instruct V1.0 AWQ Benchmarks

Breeze 7B Instruct V1.0 AWQ (YC-Chen/Breeze-7B-Instruct-v1_0-AWQ)

Breeze 7B Instruct V1.0 AWQ Parameters and Internals

LLM NameBreeze 7B Instruct V1.0 AWQ
Repository ๐Ÿค—https://huggingface.co/YC-Chen/Breeze-7B-Instruct-v1_0-AWQ 
Base Model(s)  Breeze 7B Instruct V1.0   MediaTek-Research/Breeze-7B-Instruct-v1_0
Model Size7b
Required VRAM4.6 GB
Updated2024-12-21
MaintainerYC-Chen
Model Typemistral
Instruction-BasedYes
Model Files  4.6 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size61952
Torch Data Typefloat16

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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB100
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB698312
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB9935741
Mistral 7B Instruct V0.1 AWQ32K / 4.2 GB17688237
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB3291
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB240
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB60
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB111
Mistral 7B Instruct 32K AWQ32K / 4.2 GB201
Note: green Score (e.g. "73.2") means that the model is better than YC-Chen/Breeze-7B-Instruct-v1_0-AWQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217