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PathfinderAI by Daemontatox

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  4bit   Autotrain compatible Base model:finetune:qwen/qwq-3... Base model:qwen/qwq-32b-previe...   Conversational   Cot Dataset:daemontatox/longcot-re...   En   Endpoints compatible   Model-index   Quantized   Qwen   Qwen2   Qwq   Reasoning   Region:us   Safetensors   Sharded   Smart   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/PathfinderAI 

PathfinderAI Benchmarks

LMSys ELO: 1152 vs 1272 (so35)-9.4%
MMLU Pro: 50.47
GPQA: 7.94
MUSR: 11.6
BBH: 52.32
IFEval: 48.55 vs 88 (so35)-44.8%
MATH Lvl 5: 48.41
LLME Score: 0.44585
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PathfinderAI (Daemontatox/PathfinderAI)

PathfinderAI Parameters and Internals

LLM NamePathfinderAI
Repository 🤗https://huggingface.co/Daemontatox/PathfinderAI 
Base Model(s)  QwQ 32B Preview   Qwen/QwQ-32B-Preview
Model Size32b
Required VRAM65.8 GB
Updated2025-03-12
MaintainerDaemontatox
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...k R1 Distill Qwen 32B Bnb 4bit128K / 19.2 GB6281723
...Q 32B Gptqmodel 4bit Vortex V1128K / 21.3 GB9055
QwQ 32B Bnb 4bit128K / 19.2 GB16653
Qwen QwQ 32B 425bpw H6 EXL2128K / 18.8 GB3134
QwQ 32B 6bit128K / 26.7 GB3263
QwQ 32B 8.0bpw H8 EXL2128K / 33.6 GB2333

Rank the PathfinderAI 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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