What are the hardware requirements for Qwen3 4B Kimi2.5 Reasoning Distilled?

Qwen3 4B Kimi2.5 Reasoning Distilled 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 Kimi2.5 Reasoning Distilled and how large is it?

Qwen3 4B Kimi2.5 Reasoning Distilled is developed by khazarai, 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 Kimi2.5 Reasoning Distilled?

Qwen3 4B Kimi2.5 Reasoning Distilled is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Kimi2.5 Reasoning Distilled by khazarai — VRAM 8.1GB, 256K context

Name: Qwen3 4B Kimi2.5 Reasoning Distilled
Author: khazarai

Qwen3 4B Kimi2.5 Reasoning Distilled is an open-source language model by khazarai. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b-th... Conversational Dataset:khazarai/kimi-2.5-high... En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/khazarai/Qwen3-4B-Kimi2.5-Reasoning-Distilled

Qwen3 4B Kimi2.5 Reasoning Distilled Parameters and Internals

LLM Name	Qwen3 4B Kimi2.5 Reasoning Distilled
Repository 🤗	https://huggingface.co/khazarai/Qwen3-4B-Kimi2.5-Reasoning-Distilled
Base Model(s)	Qwen3 4B Thinking 2507 unsloth/Qwen3-4B-Thinking-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-24
Maintainer	khazarai
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
Errors	replace

Rank the Qwen3 4B Kimi2.5 Reasoning Distilled 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 4B Kimi2.5 Reasoning Distilled

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	14	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
...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	345	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2

Note: green Score (e.g. "73.2") means that the model is better than khazarai/Qwen3-4B-Kimi2.5-Reasoning-Distilled.