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Mistral 7B Instruct V0.3 by leafspark

By leafspark · 6 downloads

Mistral 7B Instruct V0.3 is an open-source language model by leafspark. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.12.

  Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Instruct V0.3 Parameters and Internals

Model Type 
Large Language Model, Instruct fine-tuned
Additional Notes 
The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance. It does not have any moderation mechanisms. Future improvements will focus on respecting guardrails for moderated outputs.
LLM NameMistral 7B Instruct V0.3
Repository πŸ€—https://huggingface.co/leafspark/Mistral-7B-Instruct-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2026-07-30
Maintainerleafspark
Model Typemistral
Instruction-BasedYes
Model Files  14.5 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than leafspark/Mistral-7B-Instruct-v0.3.