What are the hardware requirements for Qwen3 4B Distilled Claude 4.6?

Qwen3 4B Distilled Claude 4.6 requires approximately 8.1 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 4B Distilled Claude 4.6 and how large is it?

Qwen3 4B Distilled Claude 4.6 is developed by FlameF0X, a model with 4b 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 4B Distilled Claude 4.6?

Qwen3 4B Distilled Claude 4.6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Distilled Claude 4.6 by FlameF0X — VRAM 8.1GB, 256K context

Name: Qwen3 4B Distilled Claude 4.6
Author: FlameF0X

Qwen3 4B Distilled Claude 4.6 is an open-source language model by FlameF0X. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-think... Conversational Dataset:flamef0x/claude-sonnet... En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/FlameF0X/Qwen3-4B-Distilled-Claude-4.6

Qwen3 4B Distilled Claude 4.6 Parameters and Internals

LLM Name	Qwen3 4B Distilled Claude 4.6
Repository 🤗	https://huggingface.co/FlameF0X/Qwen3-4B-Distilled-Claude-4.6
Base Model(s)	Qwen3 4B Thinking 2507 Qwen/Qwen3-4B-Thinking-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-22
Maintainer	FlameF0X
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16

Rank the Qwen3 4B Distilled Claude 4.6 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 4B Distilled Claude 4.6

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	11	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	342	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Cuad Extractor	256K / 8.1 GB	322	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Checkpoint 8000	256K / 8.1 GB	1453	0

Note: green Score (e.g. "73.2") means that the model is better than FlameF0X/Qwen3-4B-Distilled-Claude-4.6.