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Go Bruins V2 by rwitz

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Go Bruins V2 is an open-source language model by rwitz. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 69.8, HellaSwag: 87.1, MMLU: 65, GSM8K: 69.

  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

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%
GSM8K: 68.99 vs 96.4 (so35)-28.4%
LLME Score: 0.15899
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)
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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 GGUF1211113 GB
Go Bruins V2 GGUF01112 GB
Go Bruins V2 GPTQ3104 GB
Go Bruins V2 AWQ084 GB

Best Alternatives to Go Bruins V2

Best Alternatives
Context / RAM
Downloads
Likes
...Web AI HumanAI 012 INSTRUCT XA512K / 14.4 GB90
...Web AI HumanAI 012 INSTRUCT IA512K / 14.4 GB80
...Web AI HumanAI 011 INSTRUCT ML512K / 14.4 GB70
14512K / 14.5 GB3190
SpydazWeb HumanAI M2512K /  GB380
...dazWeb AI HumanAI 011 INSTRUCT512K / 14.4 GB141
SpydazWeb AI HumanAI 009 CHAT512K / 14.4 GB60
SpydazWeb AI HumanAI 007512K / 14.4 GB50
...Web AI HumanAI 012 INSTRUCT MX512K / 14.4 GB80
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

🆘 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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