What are the hardware requirements for Mistral 7B Platypus1k?

Mistral 7B Platypus1k 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 Mistral 7B Platypus1k and how large is it?

Mistral 7B Platypus1k is developed by lgaalves, 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 Mistral 7B Platypus1k perform on standard benchmarks?

Mistral 7B Platypus1k has the following published scores: MMLU 63.16. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B Platypus1k by lgaalves — VRAM 14.4GB, 32K context

Name: Mistral 7B Platypus1k
Author: lgaalves

Mistral 7B Platypus1k is an open-source language model by lgaalves. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 61.6, HellaSwag: 82.9, MMLU: 63.2, GSM8K: 16.4.

Dataset:garage-baind/open-plat... En Endpoints compatible Mistral Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lgaalves/mistral-7b-platypus1k

Mistral 7B Platypus1k Parameters and Internals

Model Type

Auto-regressive Language Model

Use Cases

Areas:

Research, Application Development

Primary Use Cases:

Text generation

Limitations:

Potential inaccuracies, biases, or objectionable responses

Considerations:

Developers should perform safety testing and tuning tailored to their specific applications.

Supported Languages

English (high)

Training Details

Data Sources:

garage-bAInd/Open-Platypus

Methodology:

Instruction fine-tuned using LoRA

Hardware Used:

1 Tesla V100-SXM2-16GB

Model Architecture:

Mistral-7B transformer architecture

Input Output

Performance Tips:

Ensure conducting safety testing and fine-tuning based on specific application requirements.

LLM Name	Mistral 7B Platypus1k
Repository 🤗	https://huggingface.co/lgaalves/mistral-7b-platypus1k
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-27
Maintainer	lgaalves
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2 9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mistral 7B Platypus1k 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

Quantized Models of the Mistral 7B Platypus1k

Model	Likes	Downloads	VRAM
Mistral 7B Platypus Fp16	5	52	14 GB

Best Alternatives to Mistral 7B Platypus1k

Best Alternatives	Context / RAM	Downloads	Likes
...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 lgaalves/mistral-7b-platypus1k.