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Breeze 7B Instruct V0.1 GPTQ by MaziyarPanahi

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Breeze 7B Instruct V0.1 GPTQ Benchmarks

LLME Score: 0.18684
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 V0.1 GPTQ Parameters and Internals

LLM NameBreeze 7B Instruct V0.1 GPTQ
Repository 🤗https://huggingface.co/MaziyarPanahi/Breeze-7B-Instruct-v0_1-GPTQ 
Model NameBreeze-7B-Instruct-v0_1-GPTQ
Model CreatorMediaTek-Research
Base Model(s)  Breeze 7B Instruct V0.1   MediaTek-Research/Breeze-7B-Instruct-v0_1
Model Size7b
Required VRAM4.7 GB
Updated2024-09-16
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  4.7 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size61952
Torch Data Typefloat16
Breeze 7B Instruct V0.1 GPTQ (MaziyarPanahi/Breeze-7B-Instruct-v0_1-GPTQ)

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Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB3535346
...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB6251
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB360
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB60
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB60
...stral 7B Instruct V0.3 GPTQ 4B32K / 4.2 GB50
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB101
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Breeze-7B-Instruct-v0_1-GPTQ.

Rank the Breeze 7B Instruct V0.1 GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v2024072803
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