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Llama 3 Groq Tool Use 70B

Meta·70B·LLaMA·8K ctx·2026-08

Check on my hardwareAdd to compare →Ollama →Hugging Face →

Model size→Hardware requirement→Actual fit

Llama 3 Groq Tool Use 70B needs ~41.2–48.5 GB of VRAM depending on quantization. The bar is what it needs; the marker is the card's VRAM. Speed figures below are planning estimates.

8 GB

RTX 4060 · 3060 Ti

41.2
8
Q4_K_M · Est. ~1 tok/sWon't run

12 GB

RTX 4070 · 3060 12G

41.2
12
Q4_K_M · Est. ~1 tok/sWon't run

16 GB

RTX 4080 · M-series 16G

41.2
16
Q4_K_M · Est. ~1 tok/sWon't run

24 GB

RTX 4090 · 3090

41.2
24
Q4_K_M · Est. ~7 tok/sSlow · CPU offload

48 GB

A6000 · 2×24G

41.2
48
Q4_K_M · Est. ~44 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M40 GB41.2 GB
Q5_K_M47.3 GB48.5 GB

03  — Runtimes & use

llama.cpp · Ollama · LM Studio

General · Max intelligence

Memory and speed figures are planning estimates, not measured benchmarks. Memory includes a fixed allowance for KV cache and runtime overhead. Long-context prompts push VRAM use above the numbers shown here.