What are the hardware requirements for Stablelm Tuned Alpha 7B Sharded 8bit?

Stablelm Tuned Alpha 7B Sharded 8bit requires approximately 8.6 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 Tuned Alpha 7B Sharded 8bit and how large is it?

Stablelm Tuned Alpha 7B Sharded 8bit is developed by ethzanalytics, 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 Stablelm Tuned Alpha 7B Sharded 8bit?

Stablelm Tuned Alpha 7B Sharded 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Stablelm Tuned Alpha 7B Sharded 8bit by ethzanalytics — VRAM 8.6GB, 4K context

Name: Stablelm Tuned Alpha 7B Sharded 8bit
Author: ethzanalytics

Stablelm Tuned Alpha 7B Sharded 8bit is an open-source language model by ethzanalytics. Features: 7b LLM, VRAM: 8.6GB, Context: 4K, License: cc-by-nc-sa-4.0, Quantized, LLM Explorer Score: 0.07.

8-bit 8bit En Finetuned Gpt neox Pytorch Quantized Region:us Sharded Stablelm

Model Card on HF 🤗: https://huggingface.co/ethzanalytics/stablelm-tuned-alpha-7b-sharded-8bit

Stablelm Tuned Alpha 7B Sharded 8bit Parameters and Internals

Model Type

text-generation

Additional Notes

This version is optimized for low-RAM environments such as Colab using 8-bit quantization with bitsandbytes.

Supported Languages

en (supports English)

LLM Name	Stablelm Tuned Alpha 7B Sharded 8bit
Repository 🤗	https://huggingface.co/ethzanalytics/stablelm-tuned-alpha-7b-sharded-8bit
Model Size	7b
Required VRAM	8.6 GB
Updated	2026-08-07
Maintainer	ethzanalytics
Model Type	gpt_neox
Model Files	2.0 GB: 1-of-5 2.0 GB: 2-of-5 2.0 GB: 3-of-5 2.0 GB: 4-of-5 0.6 GB: 5-of-5
Supported Languages	en
Quantization Type	8bit
Model Architecture	GPTNeoXForCausalLM
License	cc-by-nc-sa-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.28.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	float16

Rank the Stablelm Tuned Alpha 7B Sharded 8bit 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 Stablelm Tuned Alpha 7B Sharded 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Stablelm Tuned Alpha 7B 16bit	4K / 16 GB	12	5
Open Calm 7B 8bit	2K / 7.4 GB	9	10
Dolly V2 7B Sharded 8bit	2K / 7.4 GB	9	1
Dolly V2 7B 8bit	2K / 7.4 GB	7	0
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
StableLManticore 7B	4K / 16 GB	10	1

Note: green Score (e.g. "73.2") means that the model is better than ethzanalytics/stablelm-tuned-alpha-7b-sharded-8bit.