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IFM · 34.78B parameters · chat, reasoning.
Ollama weight files: Q4_K_M 21.08 GB (hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M, size from the Hugging Face file listing); Q5_K_M 24.7 GB (hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M, size from the Hugging Face file listing); Q8_0 36.97 GB (hf.co/IFM/Jais-3-32B-GGUF:Q8_0, size from the Hugging Face file listing); BF16 69.57 GB (hf.co/IFM/Jais-3-32B-GGUF:BF16, size from the Hugging Face file listing).
Yes on 60 machines in this list. The smallest is RTX 4060 Ti 16GB: Q4_K_M, about 23.4 GB, roughly 4 tokens per second, via Ollama. ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M
ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16lms get IFM/Jais-3-32B-GGUF@Q8_0llama-server -hf IFM/Jais-3-32B-GGUF:Q8_0 -c 8192vllm serve inception42/Jais-3-32B --max-model-len 8192 --gpu-memory-utilization 0.9| Hardware | Runtime | Quant | Memory | Fit | Speed | Command |
|---|---|---|---|---|---|---|
| RTX 4060 Ti 16GB | Ollama | Q4_K_M | 23.4 GB | partial offload (slower) | ~4 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| RTX 4070 Ti Super 16GB | Ollama | Q4_K_M | 23.4 GB | partial offload (slower) | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| RTX 4080 16GB | Ollama | Q4_K_M | 23.4 GB | partial offload (slower) | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| RTX 5080 16GB | Ollama | Q4_K_M | 23.4 GB | partial offload (slower) | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| RX 7800 XT 16GB | Ollama | Q4_K_M | 23.4 GB | partial offload (slower) | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| RX 9070 XT 16GB | Ollama | Q4_K_M | 23.4 GB | partial offload (slower) | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| RTX 3090 24GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~27 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| RTX 4090 24GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~29 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| RX 7900 XTX 24GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~27 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| M1 Max (24c GPU) 32GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~15 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| M1 Max (32c GPU) 32GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~15 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| M1 Pro 32GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~8 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| M2 Max (30c GPU) 32GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~15 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| M2 Max (38c GPU) 32GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~15 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| M2 Pro 32GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~8 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| M4 32GB | Ollama | Q4_K_M | 23.4 GB | fits in fast memory | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q4_K_M |
| M3 Max (30c GPU) 36GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~10 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| M3 Pro 36GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| M4 Max (32c GPU) 36GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~13 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| Mac Studio M4 Max (32c GPU) 36GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~13 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| Mac Studio M5 Max (32c GPU) 36GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~15 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| RTX 5090 32GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~44 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| M3 Max (40c GPU) 48GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~13 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| M4 Max (40c GPU) 48GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~18 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| M4 Pro 48GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| Mac Studio M4 Max (40c GPU) 48GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~18 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| Mac Studio M5 Max (40c GPU) 48GB | Ollama | Q5_K_M | 27 GB | fits in fast memory | ~20 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q5_K_M |
| M1 Max (32c GPU) 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| M2 Max (30c GPU) 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| M2 Max (38c GPU) 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| M2 Ultra 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~17 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| M3 Max (40c GPU) 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| M4 Max (40c GPU) 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~12 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| M4 Pro 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~6 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| Mac Studio M4 Max (40c GPU) 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~12 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| Mac Studio M5 Max (40c GPU) 64GB | Ollama | Q8_0 | 39.3 GB | fits in fast memory | ~13 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:Q8_0 |
| M2 Max (38c GPU) 96GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| M3 Max (30c GPU) 96GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~3 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M3 Ultra (60c GPU) 96GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M3 Ultra (80c GPU) 96GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M5 Ultra (64c GPU) 96GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~14 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M5 Ultra (80c GPU) 96GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~14 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| M2 Ultra 128GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| M3 Max (40c GPU) 128GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~5 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| M4 Max (40c GPU) 128GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~6 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M4 Max (40c GPU) 128GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~6 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M5 Max (40c GPU) 128GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~7 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) | Ollama | BF16 | 71.9 GB | fits in fast memory | ~3 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| M2 Ultra 192GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| 2x Mac Studio M5 Max (40c GPU) 128GB | llama.cpp | Q8_0 GGUF | 39.3 GB | fits in fast memory | ~11 tok/s | llama-server -hf IFM/Jais-3-32B-GGUF:Q8_0 --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| Mac Studio M3 Ultra (60c GPU) 256GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M3 Ultra (80c GPU) 256GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M5 Ultra (64c GPU) 256GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~14 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| Mac Studio M5 Ultra (80c GPU) 256GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~14 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| 2x DGX Spark 128GB | llama.cpp | Q8_0 GGUF | 39.3 GB | fits in fast memory | ~5 tok/s | llama-server -hf IFM/Jais-3-32B-GGUF:Q8_0 --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| 4x Mac Studio M5 Max (40c GPU) 128GB | llama.cpp | Q8_0 GGUF | 39.3 GB | fits in fast memory | ~10 tok/s | llama-server -hf IFM/Jais-3-32B-GGUF:Q8_0 --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node |
| 2x Mac Studio M5 Ultra (80c GPU) 256GB | llama.cpp | Q8_0 GGUF | 39.3 GB | fits in fast memory | ~22 tok/s | llama-server -hf IFM/Jais-3-32B-GGUF:Q8_0 --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| Mac Studio M3 Ultra (80c GPU) 512GB | Ollama | BF16 | 71.9 GB | fits in fast memory | ~9 tok/s | ollama run hf.co/IFM/Jais-3-32B-GGUF:BF16 |
| 4x DGX Spark 128GB | llama.cpp | Q8_0 GGUF | 39.3 GB | fits in fast memory | ~4 tok/s | llama-server -hf IFM/Jais-3-32B-GGUF:Q8_0 --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node |
| 4x Mac Studio M5 Ultra (80c GPU) 256GB | llama.cpp | Q8_0 GGUF | 39.3 GB | fits in fast memory | ~19 tok/s | llama-server -hf IFM/Jais-3-32B-GGUF:Q8_0 --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-20.
A project by OnDevice Labs · llms.txt