Leanstral 1.5 119B A6B — Hardware Requirements & GPU Compatibility
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Leanstral 1.5 119B A6B is a 119B-parameter open language model from Mistral AI in the Mistral family. At Q4_K_M it needs about 78.54 GB of VRAM — see which GPUs and Macs can run it below.
451 downloads
206 likesSpecifications
- Publisher
- Mistral AI
- Family
- Mistral
- Parameters
- 119B
- Release Date
- 2026-07-01
- License
- Apache 2.0
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HuggingFace
How Much VRAM Does Leanstral 1.5 119B A6B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 55.6 GB | — | 50.58 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 63.8 GB | — | 58.01 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 78.5 GB | — | 71.40 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 93.3 GB | — | 84.79 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 108.0 GB | — | 98.17 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 130.9 GB | — | 119.00 GB | 8-bit quantization, near-lossless |
| BF16 | 16.00 | 261.8 GB | — | 238.00 GB | Brain floating point 16 — preferred for training |
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 Leanstral 1.5 119B A6B?
Q4_K_M · 78.5 GBLeanstral 1.5 119B A6B (Q4_K_M) requires 78.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 103+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Leanstral 1.5 119B A6B?
Q4_K_M · 78.5 GB18 devices with unified memory can run Leanstral 1.5 119B A6B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, NVIDIA Jetson AGX Thor Developer Kit.
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download Leanstral 1.5 119B A6B
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 Leanstral 1.5 119B A6B need?
Leanstral 1.5 119B A6B requires 78.5 GB of VRAM at Q4_K_M, or 261.8 GB at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 119B × 4.8 bits ÷ 8 = 71.4 GB
KV Cache + Overhead ≈ 7.1 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M78.5 GB- Can NVIDIA GeForce RTX 5090 run Leanstral 1.5 119B A6B?
No — Leanstral 1.5 119B A6B requires at least 55.6 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for Leanstral 1.5 119B A6B?
For Leanstral 1.5 119B A6B, Q4_K_M (78.5 GB) offers the best balance of quality and VRAM usage. Q5_K_M (93.3 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 55.6 GB.
VRAM requirement by quantization
Q2_K55.6 GBQ4_K_M ★78.5 GBQ5_K_M93.3 GBQ6_K108.0 GBQ8_0130.9 GBBF16261.8 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Leanstral 1.5 119B A6B on a Mac?
Leanstral 1.5 119B A6B requires at least 55.6 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 Leanstral 1.5 119B A6B locally?
Yes — Leanstral 1.5 119B A6B can run locally on consumer hardware. At Q4_K_M quantization it needs 78.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Leanstral 1.5 119B A6B?
At Q4_K_M, Leanstral 1.5 119B A6B can reach ~56 tok/s on AMD Instinct MI350X. 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 ÷ 78.5 × 0.65 = ~66 tok/s
Estimated speed at Q4_K_M (78.5 GB)
~66 tok/s~66 tok/s~56 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Leanstral 1.5 119B A6B?
At Q4_K_M, the download is about 71.40 GB. The full-precision BF16 version is 238.00 GB. The smallest option (Q2_K) is 50.58 GB.
- Which GPUs can run Leanstral 1.5 119B A6B?
No single consumer GPU has enough VRAM to run Leanstral 1.5 119B A6B at Q4_K_M (78.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run Leanstral 1.5 119B A6B?
19 devices with unified memory can run Leanstral 1.5 119B A6B at Q4_K_M (78.5 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (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.