What are the hardware requirements for Ornith 1.0 35B MTP?

Ornith 1.0 35B MTP requires approximately 72.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.0 35B MTP and how large is it?

Ornith 1.0 35B MTP is developed by crucible-labs, 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 Ornith 1.0 35B MTP?

Ornith 1.0 35B MTP is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.0 35B MTP by crucible-labs — VRAM 72.1GB

Name: Ornith 1.0 35B MTP
Author: crucible-labs

Ornith 1.0 35B MTP is an open-source language model by crucible-labs. Features: 35b LLM, VRAM: 72.1GB, License: mit, LLM Explorer Score: 0.31.

Agentic-coding Base model:merge:ornith-ai/orn... Base model:merge:qwen/qwen3.6-... Base model:ornith-ai/ornith-1.... Base model:qwen/qwen3.6-35b-a3... Conversational Moe Mtp Multi-token-prediction Qwen3 5 moe Region:us Safetensors Sharded Speculative-decoding Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/crucible-labs/Ornith-1.0-35B-MTP

Ornith 1.0 35B MTP Parameters and Internals

LLM Name	Ornith 1.0 35B MTP
Repository 🤗	https://huggingface.co/crucible-labs/Ornith-1.0-35B-MTP
Base Model(s)	ornith-ai/Ornith-1.0-35B Qwen/Qwen3.6-35B-A3B ornith-ai/Ornith-1.0-35B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	72.1 GB
Updated	2026-08-19
Maintainer	crucible-labs
Model Type	qwen3_5_moe
Model Files	4.3 GB: 1-of-16 4.5 GB: 2-of-16 5.0 GB: 3-of-16 4.0 GB: 4-of-16 4.5 GB: 5-of-16 5.0 GB: 6-of-16 4.0 GB: 7-of-16 4.5 GB: 8-of-16 5.0 GB: 9-of-16 4.0 GB: 10-of-16 4.5 GB: 11-of-16 5.0 GB: 12-of-16 4.0 GB: 13-of-16 4.5 GB: 14-of-16 5.0 GB: 15-of-16 2.6 GB: 16-of-16 1.7 GB: 1-of-1
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.0 35B MTP 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 Ornith 1.0 35B MTP

Best Alternatives	Context / RAM	Downloads	Likes
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	3335266	503
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
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
Qwen3.6 35B A3B NVFP4 Fast	0K / 23.6 GB	463661	98
Ornith 1.0 35B FP8	0K / 37.4 GB	852240	81
XYZ Aquila Mini	0K / 70.2 GB	1760	432

Note: green Score (e.g. "73.2") means that the model is better than crucible-labs/Ornith-1.0-35B-MTP.