What are the hardware requirements for Snakmodel 7B Instruct?

Snakmodel 7B Instruct requires approximately 13.5 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 Snakmodel 7B Instruct and how large is it?

Snakmodel 7B Instruct is developed by NLPnorth, a model with 7b 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 Snakmodel 7B Instruct?

Snakmodel 7B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Snakmodel 7B Instruct by NLPnorth — VRAM 13.5GB, 4K context

Name: Snakmodel 7B Instruct
Author: NLPnorth

Snakmodel 7B Instruct is an open-source language model by NLPnorth. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, Instruction-Based, Merged, LLM Explorer Score: 0.15.

Merged Model Base model:finetune:nlpnorth/s... Base model:nlpnorth/snakmodel-... Conversational Da Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NLPnorth/snakmodel-7b-instruct

Snakmodel 7B Instruct Parameters and Internals

LLM Name	Snakmodel 7B Instruct
Repository 🤗	https://huggingface.co/NLPnorth/snakmodel-7b-instruct
Base Model(s)	Snakmodel 7B Base NLPnorth/snakmodel-7b-base
Merged Model	Yes
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-31
Maintainer	NLPnorth
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Supported Languages	da
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Snakmodel 7B Instruct 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

Quantized Models of the Snakmodel 7B Instruct

Model	Likes	Downloads	VRAM
Snakmodel 7B Instruct Mlx 4bit	2	13	3 GB

Best Alternatives to Snakmodel 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	946	2
SuperNeuralDreadDevil 8B	128K / 16.1 GB	14	1
Falcon3 7B Instruct	32K / 14.8 GB	11749	80
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	34	9
Jessi V0.4 Falcon3 7B Instruct	32K / 14.8 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than NLPnorth/snakmodel-7b-instruct.