What are the hardware requirements for Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp?

Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp requires approximately 30.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp and how large is it?

Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp is developed by NovaeonStudio, 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 Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp?

Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp by NovaeonStudio — VRAM 30.9GB

Name: Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp
Author: NovaeonStudio

Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp is an open-source language model by NovaeonStudio. Features: 35b LLM, VRAM: 30.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

6-bit Abliterated Apple-silicon Base model:empero-ai/qwen3.8-3... Base model:quantized:empero-ai... Conversational En Fp16 Heretic Image-text-to-text Mlx Moe Mtp Novaeon Omlx Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/NovaeonStudio/Qwen3.8-35B-A3B-Distill-Heretic-oQ6-fp16-mtp

Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp Parameters and Internals

LLM Name	Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp
Repository 🤗	https://huggingface.co/NovaeonStudio/Qwen3.8-35B-A3B-Distill-Heretic-oQ6-fp16-mtp
Base Model(s)	empero-ai/Qwen3.8-35B-A3B-Distill empero-ai/Qwen3.8-35B-A3B-Distill
Model Size	35b
Required VRAM	30.9 GB
Updated	2026-10-07
Maintainer	NovaeonStudio
Model Type	qwen3_5_moe
Model Files	5.0 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 0.9 GB: 7-of-7
Supported Languages	en
Quantization Type	fp16
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 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 Qwen3.8 35B A3B Distill Heretic OQ6 Fp16 Mtp

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B MLX 4bit	0K / 20.5 GB	513193	6
Qwen3.6 35B A3B MLX 6bit	0K / 28.9 GB	478592	2
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	473537	1
Qwen3.6 35B A3B UD MLX 4bit	0K / 21.6 GB	15720	112
Qwen3.6 35B A3B MLX 4bit MTP	0K / 20.5 GB	444	1
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	3862	41
Qwen3.6 35B A3B OQ4e Fp16 Mtp	0K / 22.4 GB	187	1
Qwen3.6 35B A3B 2Bit GSQ	0K / 13.5 GB	2119	7
Qwen3.6 35B A3B 6bit	0K / 28.9 GB	2742	8
Qwen3.6 35B A3B UD MLX 3bit	0K / 17.3 GB	2292	13

Note: green Score (e.g. "73.2") means that the model is better than NovaeonStudio/Qwen3.8-35B-A3B-Distill-Heretic-oQ6-fp16-mtp.