What are the hardware requirements for Galactica 6.7B ReFT GSM8k?

Galactica 6.7B ReFT GSM8k requires approximately 13.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Galactica 6.7B ReFT GSM8k and how large is it?

Galactica 6.7B ReFT GSM8k is developed by lqtrung1998, a model with 6.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Galactica 6.7B ReFT GSM8k perform on standard benchmarks?

Galactica 6.7B ReFT GSM8k has the following published scores: MMLU 37.62. Compare against reference models on this page or on the LLM Explorer leaderboards.

Galactica 6.7B ReFT GSM8k by lqtrung1998 — VRAM 13.8GB, 2K context

Name: Galactica 6.7B ReFT GSM8k
Author: lqtrung1998

Galactica 6.7B ReFT GSM8k is an open-source language model by lqtrung1998. Features: 6.7b LLM, VRAM: 13.8GB, Context: 2K, License: cc-by-nc-4.0, LLM Explorer Score: 0.15, Arc: 40.7, HellaSwag: 50.3, MMLU: 37.6, GSM8K: 0.7.

Arxiv:2401.08967 Endpoints compatible Opt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/lqtrung1998/galactica-6.7b-ReFT-GSM8k

Galactica 6.7B ReFT GSM8k Parameters and Internals

LLM Name	Galactica 6.7B ReFT GSM8k
Repository 🤗	https://huggingface.co/lqtrung1998/galactica-6.7b-ReFT-GSM8k
Model Size	6.7b
Required VRAM	13.8 GB
Updated	2026-08-01
Maintainer	lqtrung1998
Model Type	opt
Model Files	10.0 GB: 1-of-2 3.8 GB: 2-of-2
Model Architecture	OPTForCausalLM
License	cc-by-nc-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.34.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	50000
Torch Data Type	bfloat16
Activation Function	gelu

Rank the Galactica 6.7B ReFT GSM8k 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

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Note: green Score (e.g. "73.2") means that the model is better than lqtrung1998/galactica-6.7b-ReFT-GSM8k.