What are the hardware requirements for Stablelm 7B Sft V7 Epoch 3?

Stablelm 7B Sft V7 Epoch 3 requires approximately 32.4 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 7B Sft V7 Epoch 3 and how large is it?

Stablelm 7B Sft V7 Epoch 3 is developed by OpenAssistant, 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 7B Sft V7 Epoch 3 perform on standard benchmarks?

Stablelm 7B Sft V7 Epoch 3 has the following published scores: MMLU 25.01. Compare against reference models on this page or on the LLM Explorer leaderboards.

Stablelm 7B Sft V7 Epoch 3 by OpenAssistant — VRAM 32.4GB, 4K context

Name: Stablelm 7B Sft V7 Epoch 3
Author: OpenAssistant

Stablelm 7B Sft V7 Epoch 3 is an open-source language model by OpenAssistant. Features: 7b LLM, VRAM: 32.4GB, Context: 4K, LLM Explorer Score: 0.11, Arc: 36, HellaSwag: 55.8, MMLU: 25, GSM8K: 0.4.

En Endpoints compatible Gpt neox Pytorch Region:us Sft Sharded

Model Card on HF 🤗: https://huggingface.co/OpenAssistant/stablelm-7b-sft-v7-epoch-3

Stablelm 7B Sft V7 Epoch 3 Parameters and Internals

Model Type

Transformer-based Language Model

Supported Languages

languages_supported (english), proficiency_levels ()

Training Details

Data Sources:

oasst_export, vicuna, dolly15k, grade_school_math_instructions, code_alpaca

Context Length:

4096

LLM Name	Stablelm 7B Sft V7 Epoch 3
Repository 🤗	https://huggingface.co/OpenAssistant/stablelm-7b-sft-v7-epoch-3
Model Size	7b
Required VRAM	32.4 GB
Updated	2026-08-05
Maintainer	OpenAssistant
Model Type	gpt_neox
Model Files	10.1 GB: 1-of-2 1.9 GB: 1-of-9 5.9 GB: 2-of-2 1.9 GB: 2-of-9 1.9 GB: 3-of-9 1.9 GB: 4-of-9 1.9 GB: 5-of-9 1.9 GB: 6-of-9 1.9 GB: 7-of-9 1.9 GB: 8-of-9 1.2 GB: 9-of-9
Supported Languages	en
Model Architecture	GPTNeoXForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.28.0.dev0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50288
Torch Data Type	float16

Rank the Stablelm 7B Sft V7 Epoch 3 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 7B Sft V7 Epoch 3

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
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 OpenAssistant/stablelm-7b-sft-v7-epoch-3.