What are the hardware requirements for Qwen3 Swallow 8B SFT V0.2?

Qwen3 Swallow 8B SFT V0.2 requires approximately 16.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 Swallow 8B SFT V0.2 and how large is it?

Qwen3 Swallow 8B SFT V0.2 is developed by tokyotech-llm, a model with 8b 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 Swallow 8B SFT V0.2?

Qwen3 Swallow 8B SFT V0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Swallow 8B SFT V0.2 by tokyotech-llm — VRAM 16.4GB, 40K context

Name: Qwen3 Swallow 8B SFT V0.2
Author: tokyotech-llm

Qwen3 Swallow 8B SFT V0.2 is an open-source language model by tokyotech-llm. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.26.

Arxiv:2404.17733 Arxiv:2412.02595 Arxiv:2505.09388 Base model:finetune:tokyotech-... Base model:tokyotech-llm/qwen3... Conversational Dataset:tokyotech-llm/lmsys-ch... Dataset:tokyotech-llm/swallow-... Dataset:tokyotech-llm/swallow-... Dataset:tokyotech-llm/swallow-... En Endpoints compatible Ja Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Qwen3-Swallow-8B-SFT-v0.2

Qwen3 Swallow 8B SFT V0.2 Parameters and Internals

LLM Name	Qwen3 Swallow 8B SFT V0.2
Repository 🤗	https://huggingface.co/tokyotech-llm/Qwen3-Swallow-8B-SFT-v0.2
Base Model(s)	tokyotech-llm/Qwen3-Swallow-8B-CPT-v0.2 tokyotech-llm/Qwen3-Swallow-8B-CPT-v0.2
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-08-03
Maintainer	tokyotech-llm
Model Type	qwen3
Model Files	4.0 GB: 1-of-5 4.0 GB: 2-of-5 4.0 GB: 3-of-5 3.2 GB: 4-of-5 1.2 GB: 5-of-5
Supported Languages	en ja
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 Swallow 8B SFT V0.2 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 Swallow 8B SFT V0.2

Best Alternatives	Context / RAM	Downloads	Likes
PaCoRe 8B	320K / 1.2 GB	54	48
RLVR 8B 0926	320K / 1.2 GB	63	8
...n3 8B 320K Context 10X Massive	320K / 16.4 GB	20	0
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
...wen3 8B 192K Context 6X Larger	192K / 16.4 GB	55	0
DeepSeek R1 0528 Qwen3 8B	128K / 16.4 GB	1762293	1082
...Reason 8B Pretrain Competition	128K / 16.8 GB	244	0
Marco DeepResearch 8B	128K / 16.3 GB	520	27

Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Qwen3-Swallow-8B-SFT-v0.2.