What are the hardware requirements for Snowdon1.1 Small?

Snowdon1.1 Small requires approximately 69.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Snowdon1.1 Small and how large is it?

Snowdon1.1 Small is developed by tri-fair-lab, a model with 35b 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 Snowdon1.1 Small?

Snowdon1.1 Small is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Snowdon1.1 Small by tri-fair-lab — VRAM 69.7GB

Name: Snowdon1.1 Small
Author: tri-fair-lab

Snowdon1.1 Small is an open-source language model by tri-fair-lab. Features: 35b LLM, VRAM: 69.7GB, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-35b-a3... Conversational Endpoints compatible Image-text-to-text Model-steering Public-ai-constitution Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Value-alignment

Model Card on HF 🤗: https://huggingface.co/tri-fair-lab/Snowdon1.1-Small

Snowdon1.1 Small Parameters and Internals

LLM Name	Snowdon1.1 Small
Repository 🤗	https://huggingface.co/tri-fair-lab/Snowdon1.1-Small
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	69.7 GB
Updated	2026-08-25
Maintainer	tri-fair-lab
Model Type	qwen3_5_moe
Model Files	3.8 GB: 1-of-26 0.6 GB: 2-of-26 3.4 GB: 3-of-26 3.4 GB: 4-of-26 3.4 GB: 5-of-26 4.0 GB: 6-of-26 1.1 GB: 7-of-26 4.0 GB: 8-of-26 1.1 GB: 9-of-26 4.0 GB: 10-of-26 1.1 GB: 11-of-26 3.4 GB: 12-of-26 1.6 GB: 13-of-26 3.4 GB: 14-of-26 1.6 GB: 15-of-26 4.0 GB: 16-of-26 1.1 GB: 17-of-26 4.0 GB: 18-of-26 1.1 GB: 19-of-26 3.4 GB: 20-of-26 1.6 GB: 21-of-26 3.4 GB: 22-of-26 3.4 GB: 23-of-26 3.4 GB: 24-of-26 2.8 GB: 25-of-26 1.6 GB: 26-of-26 2.6 GB
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Snowdon1.1 Small 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 Snowdon1.1 Small

Best Alternatives	Context / RAM	Downloads	Likes
Ornith 1.5 35B A3B NPU2	256K / GB	118	1
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Ornith 1.0 35B	0K / 70.4 GB	3323741	505
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.5 35B A3B	0K / 72.1 GB	1713	201
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
Ornith 1.5 35B A3B NVFP4	0K / 23.4 GB	24238	29

Note: green Score (e.g. "73.2") means that the model is better than tri-fair-lab/Snowdon1.1-Small.