Smol Bruin 7B by Azazelle

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  Autotrain compatible   Endpoints compatible   Merge   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Azazelle/smol_bruin-7b 

Smol Bruin 7B Benchmarks

Smol Bruin 7B (Azazelle/smol_bruin-7b)

Smol Bruin 7B Parameters and Internals

Model Type 
text-generation
Training Details 
Methodology:
Slerp merge of go-bruins-v2 and smol-7b.
Model Architecture:
.yaml file for mergekit: slices model: rwitz/go-bruins-v2 layer_range: [0, 32]; model: rishiraj/smol-7b layer_range: [0, 32]; merge_method: slerp; base_model: mistralai/Mistral-7B-v0.1; dtype: float16
LLM NameSmol Bruin 7B
Repository ๐Ÿค—https://huggingface.co/Azazelle/smol_bruin-7b 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerAzazelle
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Azazelle/smol_bruin-7b.

Rank the Smol Bruin 7B 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 v20241227