What are the hardware requirements for Safetensors.claude Sonnet Mistral 7B It V0.3?

Safetensors.claude Sonnet Mistral 7B It V0.3 requires approximately 14.5 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 Safetensors.claude Sonnet Mistral 7B It V0.3 and how large is it?

Safetensors.claude Sonnet Mistral 7B It V0.3 is developed by mondk, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Safetensors.claude Sonnet Mistral 7B It V0.3?

Safetensors.claude Sonnet Mistral 7B It V0.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Safetensors.claude Sonnet Mistral 7B It V0.3 by mondk — VRAM 14.5GB, 32K context

Name: Safetensors.claude Sonnet Mistral 7B It V0.3
Author: mondk

Safetensors.claude Sonnet Mistral 7B It V0.3 is an open-source language model by mondk. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-... Claude Conversational Dataset:mondk/claude-v2-super.... En Instruct Mistral Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/mondk/Safetensors.claude-sonnet-mistral-7b-it-v0.3

Safetensors.claude Sonnet Mistral 7B It V0.3 Parameters and Internals

LLM Name	Safetensors.claude Sonnet Mistral 7B It V0.3
Repository 🤗	https://huggingface.co/mondk/Safetensors.claude-sonnet-mistral-7b-it-v0.3
Base Model(s)	unsloth/mistral-7b-instruct-v0.3-bnb-4bit unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-15
Maintainer	mondk
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	TokenizersBackend
Padding Token	[control_768]
Vocabulary Size	32768
Torch Data Type	float16

Rank the Safetensors.claude Sonnet Mistral 7B It V0.3 capabilities

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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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