What are the hardware requirements for StableLManticore 7B?

StableLManticore 7B requires approximately 16 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 StableLManticore 7B and how large is it?

StableLManticore 7B is developed by openaccess-ai-collective, 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 StableLManticore 7B?

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

StableLManticore 7B by openaccess-ai-collective — VRAM 16GB, 4K context

Name: StableLManticore 7B
Author: openaccess-ai-collective

StableLManticore 7B is an open-source language model by openaccess-ai-collective. Features: 7b LLM, VRAM: 16GB, Context: 4K, LLM Explorer Score: 0.07.

Endpoints compatible Gpt neox Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/openaccess-ai-collective/StableLManticore-7B

StableLManticore 7B Parameters and Internals

Additional Notes

The model was an experimental trial to see the plausibility of training with current tools. It has poor support for SFT with the Hugging Face trainer and lacks features like flash attention, making it inefficient. Usability is limited despite possibilities with LoRA.

Training Details

Methodology:

Experiment using LoRA

LLM Name	StableLManticore 7B
Repository 🤗	https://huggingface.co/openaccess-ai-collective/StableLManticore-7B
Model Size	7b
Required VRAM	16 GB
Updated	2026-08-08
Maintainer	openaccess-ai-collective
Model Type	gpt_neox
Model Files	10.1 GB: 1-of-2 5.9 GB: 2-of-2
Model Architecture	GPTNeoXForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.30.0.dev0
Vocabulary Size	50432
Torch Data Type	float16

Rank the StableLManticore 7B 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 StableLManticore 7B

Best Alternatives	Context / RAM	Downloads	Likes
Literature 7B 16384	16K / 36 GB	9	16
RedPajama 7B 16384	16K / 36 GB	8	4
Stablelm Tuned Alpha 7B	4K / 31.9 GB	713	361
Stablelm Base Alpha 7B	4K / 31.9 GB	884	208
Stablelm 7B Sft V7 Epoch 3	4K / 32.4 GB	64	67
Pythia 6.9B Deduped 4K	4K / 27.2 GB	8	10
Stablelm 7B	4K / 31.9 GB	7	2
Dolly V2 7B	2K / 13.8 GB	1596	150
Open Calm 7B	2K / 13.9 GB	523	205
Sarashina1 7B	2K / 13.9 GB	11	1

Note: green Score (e.g. "73.2") means that the model is better than openaccess-ai-collective/StableLManticore-7B.