sorry-bench/ft-mistral-7b-instruct-v0.2-sorry-bench-202406

Text generation · served with vLLM · ↓ 10.8K downloads a month · View on Hugging Face

The model's publisher asks you to accept its licence on Hugging Face before using it. Accept it there with your Hugging Face account; GridPup will use your Hugging Face token to download it.

Weights: 14 GB
GPU memory needed: about 19.6 GB (estimate)
Conversation length: 8,192 tokens
Memory · disk: 16 GB · 56 GB
Architecture: MistralForCausalLM
Licence: mit

Hardware and deploy

Deploying licence-gated models is coming soon: you will accept the licence on Hugging Face and give GridPup your Hugging Face token.

The memory is estimated from the weights: GridPup cannot read this model's settings until its licence is accepted.

Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.

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