Breeze 7B 32K Instruct V1.0 by MediaTek-Research

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  Arxiv:2403.02712   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Zh

Breeze 7B 32K Instruct V1.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Breeze 7B 32K Instruct V1.0 Parameters and Internals

LLM NameBreeze 7B 32K Instruct V1.0
Repository ๐Ÿค—https://huggingface.co/MediaTek-Research/Breeze-7B-32k-Instruct-v1_0 
Model Size7b
Required VRAM15 GB
Updated2024-09-07
MaintainerMediaTek-Research
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.6 GB: 3-of-4   0.5 GB: 4-of-4   5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.6 GB: 3-of-4   0.5 GB: 4-of-4
Supported Languageszh en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size62464
Torch Data Typebfloat16
Breeze 7B 32K Instruct V1.0 (MediaTek-Research/Breeze-7B-32k-Instruct-v1_0)

Quantized Models of the Breeze 7B 32K Instruct V1.0

Model
Likes
Downloads
VRAM
...7B 32K Instruct V1.0 Lora Gguf0454 GB

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Note: green Score (e.g. "73.2") means that the model is better than MediaTek-Research/Breeze-7B-32k-Instruct-v1_0.

Rank the Breeze 7B 32K Instruct V1.0 Capabilities

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