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Go Bruins V2 by rwitz

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  Autotrain compatible Base model:finetune:rwitz/go-b...   Base model:rwitz/go-bruins Dataset:athirdpath/dpo pairs-r...   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-v2 

Go Bruins V2 Benchmarks

MMLU Pro: 19.57
GPQA: 1.68
MUSR: 10.99
BBH: 12.69
IFEval: 40.96 vs 88 (so35)-53.5%
ARC: 69.8 vs 96.7 (so35)-27.8%
HellaSwag: 87.06 vs 95.3 (gpt4)-8.6%
MMLU: 64.95 vs 88.3 (so35)-26.4%
TruthfulQA: 59.68 vs 59 (gpt4)1.2%
WinoGrande: 81.22 vs 87.5 (gpt4)-7.2%
GSM8K: 68.99 vs 96.4 (so35)-28.4%
MATH Lvl 5: 6.72
LLME Score: 0.20478
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Go Bruins V2 (rwitz/go-bruins-v2)

Go Bruins V2 Parameters and Internals

LLM NameGo Bruins V2
Repository 🤗https://huggingface.co/rwitz/go-bruins-v2 
Base Model(s)  Go Bruins   rwitz/go-bruins
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Go Bruins V2

Model
Likes
Downloads
VRAM
Go Bruins V2 GGUF0862 GB
Go Bruins V2 GGUF125613 GB
Go Bruins V2 AWQ0834 GB
Go Bruins V2 GPTQ3264 GB

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SpydazWeb AI HumanAI 010 CHAT512K / 14.4 GB70
Note: green Score (e.g. "73.2") means that the model is better than rwitz/go-bruins-v2.

Rank the Go Bruins V2 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 v20241227
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