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Go Bruins V2 GGUF by MaziyarPanahi

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Go Bruins V2 GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 2.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Dataset:athirdpath/dpo pairs-r...   Dataset:intel/orca dpo pairs   En   Endpoints compatible   Gguf   Has space   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/go-bruins-v2-GGUF 

Go Bruins V2 GGUF Benchmarks

LLME Score: 0.11542
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 GGUF (MaziyarPanahi/go-bruins-v2-GGUF)
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Go Bruins V2 GGUF Parameters and Internals

Model Type 
transformers, text-generation
Additional Notes 
This model is quantized and prepared in GGUF format. GGUF is a new format that replaced GGML, and is supported by several applications like llama.cpp, text-generation-webui, KoboldCpp, GPT4All, LM Studio, LoLLMS Web UI, etc.
LLM NameGo Bruins V2 GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/go-bruins-v2-GGUF 
Model Namego-bruins-v2-GGUF
Model Creatorrwitz
Base Model(s)  Go Bruins V2   rwitz/go-bruins-v2
Required VRAM2.7 GB
Updated2026-05-07
MaintainerMaziyarPanahi
Model Typemistral
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Dolphin 2.7 Mixtral 8x7b GGUF0K / 15.6 GB10801171
GOAT Llama3.1 V0.10K / 0.2 GB143
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/go-bruins-v2-GGUF.

Rank the Go Bruins V2 GGUF 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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