MythoMax L2 13B — Hardware Requirements & GPU Compatibility
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MythoMax L2 13B is a 13B-parameter open language model from Gryphe. It supports a context window of up to 4,096 tokens. At Q4_K_M it needs about 9.78 GB of VRAM — see which GPUs and Macs can run it below.
3.9K downloads
388 likesSpecifications
- Publisher
- Gryphe
- Parameters
- 13B
- Architecture
- LlamaForCausalLM
- Context Length
- 4,096 tokens
- Vocabulary Size
- 32,000
- Release Date
- 2023-08-10
- License
- Other
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HuggingFace
How Much VRAM Does MythoMax L2 13B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 7.5 GB | 9.2 GB | 5.53 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 8.3 GB | 10.0 GB | 6.34 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 9.8 GB | 11.5 GB | 7.80 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 11.2 GB | 12.9 GB | 9.26 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 12.7 GB | 14.4 GB | 10.72 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 15.0 GB | 16.7 GB | 13.00 GB | 8-bit quantization, near-lossless |
| FP16est. | 16.00 | 28.0 GB | 29.7 GB | 26.00 GB | Full half-precision — baseline for inference |
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 MythoMax L2 13B?
Q4_K_M · 9.8 GBMythoMax L2 13B (Q4_K_M) requires 9.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 13+ GB is recommended. Using the full 4K context window can add up to 1.7 GB, bringing total usage to 11.5 GB. 39 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080 Ti.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run MythoMax L2 13B?
Q4_K_M · 9.8 GB49 devices with unified memory can run MythoMax L2 13B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, iPad Pro M5 13" (16 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does MythoMax L2 13B need?
MythoMax L2 13B requires 9.8 GB of VRAM at Q4_K_M, or 28.0 GB at FP16. Full 4K context adds up to 1.7 GB (11.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 13B × 4.8 bits ÷ 8 = 7.8 GB
KV Cache + Overhead ≈ 2 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 3.7 GB (at full 4K context)
VRAM usage by quantization
Q4_K_M9.8 GBQ4_K_M + full context11.5 GB- Can NVIDIA GeForce RTX 4090 run MythoMax L2 13B?
Yes, at Q8_0 (15.0 GB) or lower. Higher quantizations like FP16 (28.0 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for MythoMax L2 13B?
For MythoMax L2 13B, Q4_K_M (9.8 GB) offers the best balance of quality and VRAM usage. Q5_K_M (11.2 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 7.5 GB.
VRAM requirement by quantization
Q2_K7.5 GBQ4_K_M ★9.8 GBQ5_K_M11.2 GBQ6_K12.7 GBQ8_015.0 GBFP1628.0 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run MythoMax L2 13B on a Mac?
MythoMax L2 13B requires at least 7.5 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 MythoMax L2 13B locally?
Yes — MythoMax L2 13B can run locally on consumer hardware. At Q4_K_M quantization it needs 9.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is MythoMax L2 13B?
At Q4_K_M, MythoMax L2 13B can reach ~450 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~67 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 ÷ 9.8 × 0.65 = ~532 tok/s
Estimated speed at Q4_K_M (9.8 GB)
~532 tok/s~67 tok/s~532 tok/s~450 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of MythoMax L2 13B?
At Q4_K_M, the download is about 7.80 GB. The full-precision FP16 version is 26.00 GB. The smallest option (Q2_K) is 5.53 GB.
- Which GPUs can run MythoMax L2 13B?
39 consumer GPUs can run MythoMax L2 13B at Q4_K_M (9.8 GB). Top options include AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 6900 XT, AMD Radeon RX 6700 XT. 26 GPUs have plenty of headroom for comfortable inference.
- Which devices can run MythoMax L2 13B?
52 devices with unified memory can run MythoMax L2 13B at Q4_K_M (9.8 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.