What are the hardware requirements for Qwen3.8 Distill 35B A3B Coder Abliterated?

Qwen3.8 Distill 35B A3B Coder Abliterated requires approximately 12.3 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.

Who developed Qwen3.8 Distill 35B A3B Coder Abliterated and how large is it?

Qwen3.8 Distill 35B A3B Coder Abliterated is developed by Lord-H4D3ZS, a model with 35b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Qwen3.8 Distill 35B A3B Coder Abliterated perform on standard benchmarks?

Qwen3.8 Distill 35B A3B Coder Abliterated has the following published scores: LMSYS ELO 1395. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen3.8 Distill 35B A3B Coder Abliterated by Lord-H4D3ZS — VRAM 12.3GB, 256K context

Name: Qwen3.8 Distill 35B A3B Coder Abliterated
Author: Lord-H4D3ZS

Qwen3.8 Distill 35B A3B Coder Abliterated is an open-source language model by Lord-H4D3ZS. Features: 35b LLM, VRAM: 12.3GB, Context: 256K, License: apache-2.0, MoE, Quantized, Code Generating, LLM Explorer Score: 0.5, ELO: 1395.

A3b Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3... Code Codegen Conversational Endpoints compatible Gguf Moe Mtp Quantized Qwen3 Qwen3 5 moe text Region:us Rocmfpx

Model Card on HF 🤗: https://huggingface.co/Lord-H4D3ZS/Qwen3.8-Distill-35B-A3B-Coder-Abliterated

Qwen3.8 Distill 35B A3B Coder Abliterated Benchmarks

LMSys ELO 1395 vs 1272 (so35) 9.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen3.8 Distill 35B A3B Coder Abliterated Parameters and Internals

LLM Name	Qwen3.8 Distill 35B A3B Coder Abliterated
Repository 🤗	https://huggingface.co/Lord-H4D3ZS/Qwen3.8-Distill-35B-A3B-Coder-Abliterated
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	12.3 GB
Updated	2026-09-15
Maintainer	Lord-H4D3ZS
Model Type	qwen3_5_moe_text
Model Files	12.3 GB
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	Qwen3_5MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.8 Distill 35B A3B Coder Abliterated 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

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