What are the hardware requirements for GritLM 7B?

GritLM 7B requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GritLM 7B and how large is it?

GritLM 7B is developed by GritLM, 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 GritLM 7B perform on standard benchmarks?

GritLM 7B has the following published scores: MMLU 60.02. Compare against reference models on this page or on the LLM Explorer leaderboards.

GritLM 7B by GritLM — VRAM 14.4GB, 32K context

Name: GritLM 7B
Author: GritLM

GritLM 7B is an open-source language model by GritLM. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 58.1, HellaSwag: 80.9, MMLU: 60, GSM8K: 44.6.

Arxiv:2402.09906 Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational Custom code Dataset:gritlm/tulu2 Endpoints compatible Eval-results Mistral Model-index Mteb Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/GritLM/GritLM-7B

GritLM 7B Parameters and Internals

Model Type

text-generation, text-representation

Additional Notes

GritLM unifies text representation (embedding) and text generation into a single model.

Supported Languages

en (proficient)

LLM Name	GritLM 7B
Repository 🤗	https://huggingface.co/GritLM/GritLM-7B
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-06
Maintainer	GritLM
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 0.0 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	<s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the GritLM 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

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

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