What are the hardware requirements for Praxis Chess Reasoner Qwen3.5 4B Lora?

Praxis Chess Reasoner Qwen3.5 4B Lora requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Praxis Chess Reasoner Qwen3.5 4B Lora and how large is it?

Praxis Chess Reasoner Qwen3.5 4B Lora is developed by praxis-chess, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Praxis Chess Reasoner Qwen3.5 4B Lora?

Praxis Chess Reasoner Qwen3.5 4B Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Praxis Chess Reasoner Qwen3.5 4B Lora by praxis-chess — VRAM 0.1GB

Name: Praxis Chess Reasoner Qwen3.5 4B Lora
Author: praxis-chess

Praxis Chess Reasoner Qwen3.5 4B Lora is an open-source language model by praxis-chess. Features: 4b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.27.

Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-4b Chess Conversational Dataset:praxis-chess/praxis-ch... En Evidence-grounded Finetuned Lora Model-index Peft Qwen3.5 Reasoning Region:us Safetensors Stockfish Verifiable

Model Card on HF 🤗: https://huggingface.co/praxis-chess/praxis-chess-reasoner-qwen3.5-4b-lora

Praxis Chess Reasoner Qwen3.5 4B Lora Parameters and Internals

LLM Name	Praxis Chess Reasoner Qwen3.5 4B Lora
Repository 🤗	https://huggingface.co/praxis-chess/praxis-chess-reasoner-qwen3.5-4b-lora
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	0.1 GB
Updated	2026-10-07
Maintainer	praxis-chess
Model Files	0.1 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	in_proj_b\|v_proj\|out_proj\|in_proj_qkv\|in_proj_a\|k_proj\|up_proj\|gate_proj\|in_proj_z\|q_proj\|down_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	16
Errors	replace

Rank the Praxis Chess Reasoner Qwen3.5 4B Lora 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 Praxis Chess Reasoner Qwen3.5 4B Lora

Best Alternatives	Context / RAM	Downloads	Likes
Kev 4B	0K / 0.1 GB	16100	101
Qwen Las V0.1	0K / 0 GB	6	0
Visual Jev 4B Answer Sft	0K / 0.1 GB	466	2
Imajev 4B	0K / 0.5 GB	64	3
...c Qwen3.5 4B Lora Experimental	0K / 0.2 GB	24	1
...ate Field Intelligence Adapter	0K / 0.1 GB	44	1
...oolTrajectories InjectionAware	0K / 0.7 GB	14	1
Spark X2.5 4B Japanese Pitcher	0K / 0.1 GB	13	1
Text To Sql Shop R1	0K / 0.1 GB	24	0
Norn V15	0K / 0.1 GB	22	1

Note: green Score (e.g. "73.2") means that the model is better than praxis-chess/praxis-chess-reasoner-qwen3.5-4b-lora.