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Breeze 7B Instruct V1.0 AWQ by chienweichang

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Breeze 7B Instruct V1.0 AWQ is an open-source language model by chienweichang. Features: 7b LLM, VRAM: 4.6GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14, Arc: 61.4, HellaSwag: 82.6, MMLU: 62.1, GSM8K: 43.1.

  4-bit   Awq   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Zh
Model Card on HF 🤗: https://huggingface.co/chienweichang/Breeze-7B-Instruct-v1_0-AWQ 

Breeze 7B Instruct V1.0 AWQ Benchmarks

ARC: 61.35 vs 96.7 (so35)-36.6%
HellaSwag: 82.59 vs 95.3 (gpt4)-13.3%
MMLU: 62.11 vs 88.3 (so35)-29.7%
GSM8K: 43.14 vs 96.4 (so35)-55.2%
LLME Score: 0.14435
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Breeze 7B Instruct V1.0 AWQ (chienweichang/Breeze-7B-Instruct-v1_0-AWQ)
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Breeze 7B Instruct V1.0 AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is quantized using AWQ for efficient, low-bit weight use, supporting 4-bit quantization for faster inference with comparison to GPTQ setups.
Supported Languages 
zh (fluent)
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameBreeze 7B Instruct V1.0 AWQ
Repository 🤗https://huggingface.co/chienweichang/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
Updated2026-05-08
Maintainerchienweichang
Model Typemistral
Instruction-BasedYes
Model Files  4.6 GB
Supported Languageszh
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size61952
Torch Data Typefloat16

Best Alternatives to Breeze 7B Instruct V1.0 AWQ

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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB60
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB21214552
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB803110
Mistral 7B Instruct V0.1 AWQ32K / 4.2 GB121422
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB111
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB5321
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB50
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB81
Mistral 7B Instruct 32K AWQ32K / 4.2 GB191
Note: green Score (e.g. "73.2") means that the model is better than chienweichang/Breeze-7B-Instruct-v1_0-AWQ.

Rank the Breeze 7B Instruct V1.0 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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