What are the hardware requirements for PathfinderAI?

PathfinderAI requires approximately 65.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PathfinderAI and how large is it?

PathfinderAI is developed by Daemontatox, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does PathfinderAI perform on standard benchmarks?

PathfinderAI has the following published scores: LMSYS ELO 1152. Compare against reference models on this page or on the LLM Explorer leaderboards.

PathfinderAI by Daemontatox — VRAM 65.8GB, 32K context

Name: PathfinderAI
Author: Daemontatox

PathfinderAI is an open-source language model by Daemontatox. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.38, ELO: 1152.

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%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

PathfinderAI Parameters and Internals

LLM Name	PathfinderAI
Repository 🤗	https://huggingface.co/Daemontatox/PathfinderAI
Base Model(s)	QwQ 32B Preview Qwen/QwQ-32B-Preview
Model Size	32b
Required VRAM	65.8 GB
Updated	2025-07-08
Maintainer	Daemontatox
Model Type	qwen2
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 Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the PathfinderAI capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to PathfinderAI

Best Alternatives	Context / RAM	Downloads	Likes
...Logic Mix 3 32B Mlx OptiQ 5bit	128K / 22.3 GB	41	1
...pSeek R1 Distill Qwen 32B 4bit	128K / 18.5 GB	7795	51
Hydraulic Deepseek 16bit	128K / 65.8 GB	52	0
...k R1 Distill Qwen 32B Bnb 4bit	128K / 19.2 GB	2717	29
...till Qwen 32B Abliterated 4bit	128K / 18.5 GB	888	7
QwQ 32B Unsloth Bnb 4bit	128K / 22.5 GB	179	47
...ogito V1 Preview Qwen 32B 4bit	128K / 18.5 GB	43	5
...T1 Flash Lightest 32B Mlx 4Bit	128K / 18.5 GB	231	8
QwQ 32B 4bit	128K / 18.5 GB	132	38
QwQ 32B Bnb 4bit	128K / 19.2 GB	157	4