What are the hardware requirements for Sam Reason S2.1?

Sam Reason S2.1 requires approximately 2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sam Reason S2.1 and how large is it?

Sam Reason S2.1 is developed by Smilyai-labs, a model with 999.9m 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 Sam Reason S2.1?

Sam Reason S2.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sam Reason S2.1 by Smilyai-labs — VRAM 2GB, 32K context

Name: Sam Reason S2.1
Author: Smilyai-labs

Sam Reason S2.1 is an open-source language model by Smilyai-labs. Features: 999.9m LLM, VRAM: 2GB, Context: 32K, License: mit, LLM Explorer Score: 0.18.

Autotrain compatible Conversational En Endpoints compatible Gemma3 text Region:us S series S1 S2 S2.1 Safetensors Sam-reasoning Smilyai Smilyai-reasoning

Model Card on HF 🤗: https://huggingface.co/Smilyai-labs/Sam-reason-S2.1

Sam Reason S2.1 Parameters and Internals

LLM Name	Sam Reason S2.1
Repository 🤗	https://huggingface.co/Smilyai-labs/Sam-reason-S2.1
Model Size	999.9m
Required VRAM	2 GB
Updated	2025-08-26
Maintainer	Smilyai-labs
Model Type	gemma3_text
Model Files	2.0 GB
Supported Languages	en
Model Architecture	Gemma3ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	float16

Rank the Sam Reason S2.1 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 Sam Reason S2.1

Best Alternatives	Context / RAM	Downloads	Likes
Hf Gemma3 21 Checkpoint 128000	32K / 4 GB	1059	0
Hf Gemma3 21 Checkpoint 128000	32K / 4 GB	16	0
Sam Reason S2	32K / 2 GB	11	1
Uwes Med Model	32K / 4 GB	11	0
Sft Unsafe Model Full	32K / 4 GB	9	0
Sft Model State Dict Full	32K / 4 GB	7	0
...e Merged Model State Dict Peft	32K / 4 GB	7	0
Sft Model State Dict Peft	32K / 4 GB	7	0
Gemma 3 Sft Peft	32K / 5.2 GB	7	0
Gemma 3 Sft	32K / 4 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than Smilyai-labs/Sam-reason-S2.1.