What are the hardware requirements for Stablelm 2 Brief 1 6B?

Stablelm 2 Brief 1 6B requires approximately 3.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Stablelm 2 Brief 1 6B and how large is it?

Stablelm 2 Brief 1 6B is developed by maxim-saplin, a model with 6b 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 Stablelm 2 Brief 1 6B?

Stablelm 2 Brief 1 6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Stablelm 2 Brief 1 6B by maxim-saplin — VRAM 3.3GB, 4K context

Name: Stablelm 2 Brief 1 6B
Author: maxim-saplin

Stablelm 2 Brief 1 6B is an open-source language model by maxim-saplin. Features: 6b LLM, VRAM: 3.3GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.12.

Conversational Dataset:g-ronimo/oasst2 top4k ... Dataset:huggingfaceh4/ultracha... En Endpoints compatible Fp16 Gguf Q8 Q8 0 Quantized Region:us Safetensors Sharded Stablelm Tensorflow

Model Card on HF 🤗: https://huggingface.co/maxim-saplin/stablelm-2-brief-1_6b

Stablelm 2 Brief 1 6B Parameters and Internals

LLM Name	Stablelm 2 Brief 1 6b
Repository 🤗	https://huggingface.co/maxim-saplin/stablelm-2-brief-1_6b
Model Size	6b
Required VRAM	3.3 GB
Updated	2026-08-02
Maintainer	maxim-saplin
Model Type	stablelm
Model Files	2.0 GB: 1-of-2 1.3 GB: 2-of-2 1.8 GB 3.3 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	fp16\|gguf\|q8\|q8_0
Model Architecture	StableLmForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.39.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	100289
Torch Data Type	bfloat16
Errors	replace

Rank the Stablelm 2 Brief 1 6B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Stablelm 2 Zephyr 1 6b	4K / 1 GB	7006	187
Stablelm 2 Zephyr 1.6B GGUF	4K / 0.7 GB	721	15
Stablelm 2 Zephyr 1 6b Q4	4K / GB	14	1
Stablelm 2 Zephyr 1 6b 4bit	4K / 1.2 GB	64	5
Stablelm 2 1 6b	4K / 3.3 GB	6627	196
Stablelm 2 1 6b Chat	4K / 6.6 GB	1945	34
Stablelm 2 1 6b Sft Full	4K / 3.3 GB	5	0
Cot 5k	4K / 3.3 GB	1313	0
StableGPT4 Micro 1.6B	4K / 6.6 GB	81	1
StableLM FineTune GPT4	4K / 6.6 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than maxim-saplin/stablelm-2-brief-1_6b.