What are the hardware requirements for Stablelm Base Alpha 7B?

Stablelm Base Alpha 7B requires approximately 31.9 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 Base Alpha 7B and how large is it?

Stablelm Base Alpha 7B is developed by stabilityai, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Stablelm Base Alpha 7B perform on standard benchmarks?

Stablelm Base Alpha 7B has the following published scores: MMLU 26.21. Compare against reference models on this page or on the LLM Explorer leaderboards.

Stablelm Base Alpha 7B by stabilityai — VRAM 31.9GB, 4K context

Name: Stablelm Base Alpha 7B
Author: stabilityai

Stablelm Base Alpha 7B is an open-source language model by stabilityai. Features: 7b LLM, VRAM: 31.9GB, Context: 4K, License: cc-by-sa-4.0, LLM Explorer Score: 0.12, Arc: 32, HellaSwag: 51.8, MMLU: 26.2, GSM8K: 0.6.

Deploy:azure En Endpoints compatible Gpt neox Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/stabilityai/stablelm-base-alpha-7b

Stablelm Base Alpha 7B Parameters and Internals

Model Type

auto-regressive language model

Use Cases

Primary Use Cases:

Foundational models for application-specific fine-tuning

Limitations:

Pre-training dataset may contain offensive or inappropriate content, Exercise caution when using in production, Avoid applications causing harm or distress

Supported Languages

English (full)

Training Details

Data Sources:

new experimental dataset built atop The Pile

Data Volume:

approximately 1.5T tokens

Methodology:

Pre-trained in mixed-precision (FP16) using NeoX tokenizer with a vocabulary size of 50,257.

Context Length:

4096

Model Architecture:

NeoX transformer architecture

LLM Name	Stablelm Base Alpha 7B
Repository 🤗	https://huggingface.co/stabilityai/stablelm-base-alpha-7b
Model Size	7b
Required VRAM	31.9 GB
Updated	2026-07-10
Maintainer	stabilityai
Model Type	gpt_neox
Model Files	9.8 GB: 1-of-4 9.8 GB: 2-of-4 9.8 GB: 3-of-4 2.5 GB: 4-of-4
Supported Languages	en
Model Architecture	GPTNeoXForCausalLM
License	cc-by-sa-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.27.4
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	float32

Rank the Stablelm Base Alpha 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 Stablelm Base Alpha 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 7B Sft V7 Epoch 3	4K / 32.4 GB	64	67
StableLManticore 7B	4K / 16 GB	10	1
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 stabilityai/stablelm-base-alpha-7b.