Distil Lfm25 Shellper — Hardware Requirements & GPU Compatibility
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Distil Lfm25 Shellper is a 354M-parameter open language model from distil-labs. It supports a context window of up to 128,000 tokens. At BF16 it needs about 1.08 GB of VRAM — see which GPUs and Macs can run it below.
57.0K downloads
11 likesSpecifications
- Publisher
- distil-labs
- Parameters
- 354M
- Architecture
- Lfm2ForCausalLM
- Context Length
- 128,000 tokens
- Vocabulary Size
- 65,536
- Release Date
- 2026-03-30
- License
- Other
Get Started
HuggingFace
How Much VRAM Does Distil Lfm25 Shellper Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 1.1 GB | 5.2 GB | 0.71 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Distil Lfm25 Shellper?
BF16 · 1.1 GBDistil Lfm25 Shellper (BF16) requires 1.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 2+ GB is recommended. Using the full 128K context window can add up to 4.1 GB, bringing total usage to 5.2 GB. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Distil Lfm25 Shellper?
BF16 · 1.1 GB33 devices with unified memory can run Distil Lfm25 Shellper, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Distil Lfm25 Shellper need?
Distil Lfm25 Shellper requires 1.1 GB of VRAM at BF16. Full 128K context adds up to 4.1 GB (5.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 354M × 16 bits ÷ 8 = 0.7 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 4.5 GB (at full 128K context)
VRAM usage by quantization
BF161.1 GBBF16 + full context5.2 GB- Can I run Distil Lfm25 Shellper on a Mac?
Distil Lfm25 Shellper requires at least 1.1 GB at BF16, 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 Distil Lfm25 Shellper locally?
Yes — Distil Lfm25 Shellper can run locally on consumer hardware. At BF16 quantization it needs 1.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Distil Lfm25 Shellper?
At BF16, Distil Lfm25 Shellper can reach ~2699 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~607 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 1.1 × 0.55 = ~2699 tok/s
Estimated speed at BF16 (1.1 GB)
~2699 tok/s~607 tok/s~2017 tok/s~1669 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Distil Lfm25 Shellper?
At BF16, the download is about 0.71 GB.
- Which GPUs can run Distil Lfm25 Shellper?
35 consumer GPUs can run Distil Lfm25 Shellper at BF16 (1.1 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 35 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Distil Lfm25 Shellper?
33 devices with unified memory can run Distil Lfm25 Shellper at BF16 (1.1 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.