What are the hardware requirements for SR2AM V0.1 8B?

SR2AM V0.1 8B requires approximately 16.3 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 SR2AM V0.1 8B and how large is it?

SR2AM V0.1 8B is developed by sailing-lab, 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 SR2AM V0.1 8B?

SR2AM V0.1 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SR2AM V0.1 8B by sailing-lab — VRAM 16.3GB, 40K context

Name: SR2AM V0.1 8B
Author: sailing-lab

SR2AM V0.1 8B is an open-source language model by sailing-lab. Features: 8b LLM, VRAM: 16.3GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.24.

Arxiv:2605.22138 Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b Conversational En Endpoints compatible Qwen3 Reasoning Region:us Safetensors Sharded Simulative-planning Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/sailing-lab/SR2AM-v0.1-8B

SR2AM V0.1 8B Parameters and Internals

LLM Name	SR2AM V0.1 8B
Repository 🤗	https://huggingface.co/sailing-lab/SR2AM-v0.1-8B
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	16.3 GB
Updated	2026-08-06
Maintainer	sailing-lab
Model Type	qwen3
Model Files	5.3 GB: 0-of-4 5.3 GB: 1-of-4 4.5 GB: 2-of-4 1.2 GB: 3-of-4
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.55.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the SR2AM V0.1 8B 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 SR2AM V0.1 8B

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	465	34

Note: green Score (e.g. "73.2") means that the model is better than sailing-lab/SR2AM-v0.1-8B.