Llama 3.1 Nemotron 70B Instruct
NVIDIA's RLHF-tuned Llama 3.1 70B. Tops several Arena-style human-preference leaderboards and shipped with NVIDIA's reward-model research. Inherits the Llama 3 community licence.
- Parameters
- 70B
- Context length
- 128K
- Modality
- text
- Released
- 2024-10-15
Memory & hardware
- VRAM (fp16)
- 140 GB
- VRAM (Q4)
- 42 GB
- Recommended
- 1× H100 80GB or RTX 4090 (Q4)
- Quantizations
- fp16, fp8, q8_0, q5_k_m, q4_k_m
License: Llama 3 Community License
- SPDX
- —
- Commercial use
- Yes
- Modification
- Yes
- Redistribution
- Yes
Benchmarks
Hosted inference pricing
No hosted pricing listed — this model is currently self-host-only on this site.
Run it yourself
Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.
ollama run llama3.1:70b
vllm serve nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("nvidia/Llama-3.1-Nemotron-70B-Instruct-HF")
model = AutoModelForCausalLM.from_pretrained(
"nvidia/Llama-3.1-Nemotron-70B-Instruct-HF", device_map="auto", torch_dtype="auto"
)nvidia/Llama-3.1-Nemotron-70B-Instruct-HF Related models
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