TwIL LM3 Pro — Hardware Requirements & GPU Compatibility
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TwIL LM3 Pro is a 3.7B-parameter open language model from webAI-Official. It supports a context window of up to 131,072 tokens. At Q4_K_M it needs about 2.66 GB of VRAM — see which GPUs and Macs can run it below.
1.1K downloads
29 likesSpecifications
- Publisher
- webAI-Official
- Parameters
- 3.7B
- Architecture
- GraniteForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 100,352
- Release Date
- 2026-09-03
- License
- Other
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HuggingFace
How Much VRAM Does TwIL LM3 Pro Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 2.0 GB | 12.6 GB | 1.56 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 2.1 GB | 12.6 GB | 1.60 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 2.3 GB | 12.8 GB | 1.78 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 2.7 GB | 13.2 GB | 2.20 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 3.1 GB | 13.6 GB | 2.61 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 3.5 GB | 14.1 GB | 3.02 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 4.1 GB | 14.7 GB | 3.66 GB | 8-bit quantization, near-lossless |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run TwIL LM3 Pro?
Q4_K_M · 2.7 GBTwIL LM3 Pro (Q4_K_M) requires 2.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 4+ GB is recommended. Using the full 131K context window can add up to 10.6 GB, bringing total usage to 13.2 GB. 52 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run TwIL LM3 Pro?
Q4_K_M · 2.7 GB59 devices with unified memory can run TwIL LM3 Pro, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomWhere to Download TwIL LM3 Pro
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Related Models
Frequently Asked Questions
- How much VRAM does TwIL LM3 Pro need?
TwIL LM3 Pro requires 2.7 GB of VRAM at Q4_K_M, or 7.8 GB at BF16. Full 131K context adds up to 10.6 GB (13.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 3.7B × 4.8 bits ÷ 8 = 2.2 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11 GB (at full 131K context)
VRAM usage by quantization
Q4_K_M2.7 GBQ4_K_M + full context13.2 GB- What's the best quantization for TwIL LM3 Pro?
For TwIL LM3 Pro, Q4_K_M (2.7 GB) offers the best balance of quality and VRAM usage. Q5_K_S (3.0 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 2.0 GB.
VRAM requirement by quantization
Q2_K2.0 GBQ3_K_L2.3 GBQ4_K_M ★2.7 GBQ5_K_S3.0 GBQ5_K_M3.1 GBBF167.8 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run TwIL LM3 Pro on a Mac?
TwIL LM3 Pro requires at least 2.0 GB at Q2_K, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run TwIL LM3 Pro locally?
Yes — TwIL LM3 Pro can run locally on consumer hardware. At Q4_K_M quantization it needs 2.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is TwIL LM3 Pro?
At Q4_K_M, TwIL LM3 Pro can reach ~1805 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~246 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 2.7 × 0.65 = ~1955 tok/s
Estimated speed at Q4_K_M (2.7 GB)
~1955 tok/s~246 tok/s~1955 tok/s~1805 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of TwIL LM3 Pro?
At Q4_K_M, the download is about 2.20 GB. The full-precision BF16 version is 7.32 GB. The smallest option (Q2_K) is 1.56 GB.
- Which GPUs can run TwIL LM3 Pro?
52 consumer GPUs can run TwIL LM3 Pro at Q4_K_M (2.7 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 52 GPUs have plenty of headroom for comfortable inference.
- Which devices can run TwIL LM3 Pro?
59 devices with unified memory can run TwIL LM3 Pro at Q4_K_M (2.7 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.