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Models / Llama-3.1 / Llama-3.1 8B
Text generation · served with ONNX Runtime GenAI · ↓ 62 downloads a month · View on Hugging Face
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-3.1-8BLicence to accept | vLLM | 16 GB | ~21.5 GB | $0.18/h 2x RTX 3060 |
| Instructmeta-llama/Llama-3.1-8B-InstructLicence to accept | vLLM | 16 GB | ~21.5 GB | $0.18/h 2x RTX 3060 |
| Llama Guard 3 8Bmeta-llama/Llama-Guard-3-8BLicence to accept | vLLM | 16 GB | ~21.5 GB | $0.18/h 2x RTX 3060 |
| Instruct FP8 (RedHatAI)RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 | vLLM | 9.1 GB | 13.5 GB | $0.16/h RTX 4060 Ti |
| Instruct bnb 4bit (unsloth)unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | vLLM | 5.7 GB | 9.8 GB | $0.10/h RTX 3060 |
| Instruct quantized.w4a16 (RedHatAI)RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w4a16 | vLLM | 5.7 GB | 9.8 GB | $0.10/h RTX 3060 |
| Instruct unsloth bnb 4bit (unsloth)unsloth/Meta-Llama-3.1-8B-Instruct-unsloth-bnb-4bit | vLLM | 6.0 GB | 10 GB | $0.10/h RTX 3060 |
| Instruct FP8 dynamic (RedHatAI)RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-dynamic | vLLM | 9.1 GB | 13.5 GB | $0.16/h RTX 4060 Ti |
| Instruct unsloth bnb 4bit (unsloth)unsloth/Llama-3.1-8B-Instruct-unsloth-bnb-4bit | vLLM | 6.0 GB | 10 GB | $0.10/h RTX 3060 |
| FP8 (RedHatAI)RedHatAI/Meta-Llama-3.1-8B-FP8 | vLLM | 9.1 GB | 13.5 GB | $0.16/h RTX 4060 Ti |
| Instruct quantized.w8a8 (RedHatAI)RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8 | vLLM | 9.1 GB | 13.5 GB | $0.16/h RTX 4060 Ti |
| unsloth bnb 4bit (unsloth)unsloth/meta-Llama-3.1-8B-unsloth-bnb-4bit | vLLM | 6.0 GB | 10 GB | $0.10/h RTX 3060 |
| Instruct FP8 dynamic (furiosa-ai)furiosa-ai/Meta-Llama-3.1-8B-Instruct-FP8-dynamic | vLLM | 9.1 GB | 13.5 GB | $0.16/h RTX 4060 Ti |
| Instruct int8 (FriendliAI)FriendliAI/Meta-Llama-3.1-8B-Instruct-int8 | vLLM | 9.1 GB | 13.5 GB | $0.16/h RTX 4060 Ti |
| bnb 4bit (unsloth)unsloth/Meta-Llama-3.1-8B-bnb-4bit | vLLM | 5.7 GB | 9.8 GB | $0.10/h RTX 3060 |
| Llama3.1 8B Chinese Chat (shenzhi-wang)shenzhi-wang/Llama3.1-8B-Chinese-Chat | vLLM | 16 GB | 21.3 GB | $0.18/h 2x RTX 3060 |
| Instruct bnb 4bit (unsloth)unsloth/Llama-3.1-8B-Instruct-bnb-4bit | vLLM | 5.7 GB | 9.8 GB | $0.10/h RTX 3060 |
| Instruct pearl (pearl-ai)pearl-ai/Llama-3.1-8B-Instruct-pearl | vLLM | 9.1 GB | 13.5 GB | $0.16/h RTX 4060 Ti |
| Instruct NVFP4 (RedHatAI)RedHatAI/Llama-3.1-8B-Instruct-NVFP4 | vLLM | 6.0 GB | 10.1 GB | $0.10/h RTX 3060 |
| quantized.w8a8 (RedHatAI)RedHatAI/Meta-Llama-3.1-8B-quantized.w8a8 | vLLM | 9.1 GB | 13.5 GB | $0.16/h RTX 4060 Ti |
| llama 3 1 8b base onnx genai int4 kquantlast emb int8 (Arm)Arm/llama-3-1-8b-base-onnx-genai-int4-kquantlast-emb-int8 | ONNX Runtime GenAI | 5.7 GB | 8.6 GB | $0.10/h RTX 3060 |
| llama 3 1 8b instruct onnx genai int4 kquantlast emb int8 (Arm)Arm/llama-3-1-8b-instruct-onnx-genai-int4-kquantlast-emb-int8 | ONNX Runtime GenAI | 5.4 GB | 8.8 GB | $0.10/h RTX 3060 |
Deploying ONNX models from the catalog is coming soon. Today, download the files from Hugging Face and upload them in Inference.
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.