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Models / Llama-3.2 / Llama-3.2 1B
Text generation · served with vLLM · ↓ 5.2M 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.
The same model packaged differently: a quantized version needs less GPU memory and runs on a cheaper machine.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalmeta-llama/Llama-3.2-1B-InstructLicence to accept | vLLM | 2.5 GB | ~5.2 GB | $0.10/h RTX 3060 |
| FP8 dynamic (RedHatAI)RedHatAI/Llama-3.2-1B-Instruct-FP8-dynamic | vLLM | 2.0 GB | 4.8 GB | $0.10/h RTX 3060 |
| FP8 (RedHatAI)RedHatAI/Llama-3.2-1B-Instruct-FP8 | vLLM | 2.0 GB | 4.8 GB | $0.10/h RTX 3060 |
| unsloth bnb 4bit (unsloth)unsloth/Llama-3.2-1B-Instruct-unsloth-bnb-4bit | vLLM | 1.1 GB | 3.7 GB | $0.10/h RTX 3060 |
| bnb 4bit (unsloth)unsloth/Llama-3.2-1B-Instruct-bnb-4bit | vLLM | 1.0 GB | 3.7 GB | $0.10/h RTX 3060 |
| quantized.w8a8 (RedHatAI)RedHatAI/Llama-3.2-1B-Instruct-quantized.w8a8 | vLLM | 2.0 GB | 4.8 GB | $0.10/h RTX 3060 |
| llama 3 2 1b instruct onnx genai int4 kquantlast emb int8 vivo x300 (Arm)Arm/llama-3-2-1b-instruct-onnx-genai-int4-kquantlast-emb-int8-vivo-x300 | ONNX Runtime GenAI | 1.2 GB | 3.1 GB | $0.08/h GTX 1660 SUPER |
| llama 3 2 1b instruct onnx genai int4 kquantlast emb int8 graviton g4 (Arm)Arm/llama-3-2-1b-instruct-onnx-genai-int4-kquantlast-emb-int8-graviton-g4 | ONNX Runtime GenAI | 1.2 GB | 3.2 GB | $0.08/h GTX 1660 SUPER |
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.