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Go Bruins by rwitz

 »  All LLMs  »  rwitz  »  Go Bruins   URL Share it on

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  Autotrain compatible Base model:finetune:q-bert/met... Base model:q-bert/metamath-cyb...   Dataset:intel/orca dpo pairs   En   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rwitz/go-bruins 

Go Bruins Benchmarks

ARC: 69.11 vs 96.7 (so35)-28.5%
HellaSwag: 86.68 vs 95.3 (gpt4)-9%
MMLU: 64.96 vs 88.3 (so35)-26.4%
TruthfulQA: 58.72 vs 59 (gpt4)-0.5%
WinoGrande: 81.37 vs 87.5 (gpt4)-7%
GSM8K: 69.9 vs 96.4 (so35)-27.5%
LLME Score: 0.16733
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Go Bruins (rwitz/go-bruins)

Go Bruins Parameters and Internals

LLM NameGo Bruins
Repository 🤗https://huggingface.co/rwitz/go-bruins 
Base Model(s)  MetaMath Cybertron Starling   Q-bert/MetaMath-Cybertron-Starling
Model Size7.2b
Required VRAM14.4 GB
Updated2024-10-02
Maintainerrwitz
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Go Bruins

Model
Likes
Downloads
VRAM
Go Bruins GGUF37733 GB
Go Bruins GPTQ1304 GB
Go Bruins AWQ064 GB

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Note: green Score (e.g. "73.2") means that the model is better than rwitz/go-bruins.

Rank the Go Bruins 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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Release v20241227
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