What are the hardware requirements for Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx?

Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx requires approximately 13.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx?

Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx by lemuralabs — VRAM 13.4GB, 256K context

Name: Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx
Author: lemuralabs

Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx is an open-source language model by lemuralabs. Features: 27b LLM, VRAM: 13.4GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.3.

4-bit Abliterated Apple-silicon Base model:quantized:teichai/q... Base model:teichai/qwen3.6-27b... Claude-opus-distill Conversational En Mlx Mlx-lm Multilingual Qwen Qwen3 Qwen3.6 Qwen3 5 Reasoning Refusal-ablated Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lemuralabs/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-abliterated-OptiQ-3.7bpw-mlx

Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx Parameters and Internals

LLM Name	Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx
Repository 🤗	https://huggingface.co/lemuralabs/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-abliterated-OptiQ-3.7bpw-mlx
Base Model(s)	TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2 TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2
Model Size	27b
Required VRAM	13.4 GB
Updated	2026-08-07
Maintainer	lemuralabs
Model Type	qwen3_5
Model Files	5.4 GB: 1-of-3 5.4 GB: 2-of-3 2.6 GB: 3-of-3
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.7.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx capabilities

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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 Qwen3.6 27B Claude Opus Reasoning Distill V2 Abliterated OptiQ 3.7bpw Mlx

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	6727	14
Qwen3.6 27B Esper4	256K / 55.6 GB	292	19
Ornstein 3.6 27B RYS	256K / 56.8 GB	397	1
Qwen3.6 Solidity 27B	256K / 53.8 GB	87	6
Qwen3.6 27B Tachibana Agent	256K / 55.6 GB	60	7
Carnice 27B	256K / 53.7 GB	27	36
...wopus3.5 27B V3 FP8 Vllm Ready	256K / 29.4 GB	50	17
Qwopus3.5 27B V3 FP8	256K / 29.4 GB	51	6
Qwen3.6 27B Esper3.1	256K / 55.6 GB	4	9

Note: green Score (e.g. "73.2") means that the model is better than lemuralabs/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-abliterated-OptiQ-3.7bpw-mlx.