Can an RTX 4090 run Qwen2.5-7B-Instruct?
Yes Qwen2.5-7B-Instruct at BF16 needs 15.25 GiB–17.14 GiB at 8,192 tokens of context. The RTX 4090 has about 22 GiB usable.
4 files, 15.2 GB in total.
These are estimates from the model's config and file sizes, not measurements. How we calculate
How much room is left
- It still fits at the model's full 32,768-token window.
Other files on this GPU
| Quant | File size | Engine | Total | Fit |
|---|---|---|---|---|
| BF16 safetensors This page | 15.2 GB | vllm | 15.2 GiB–17.1 GiB | Fits |
| GGUF Q8_0 | 8.1 GB | llama.cpp | 8.1 GiB–8.7 GiB | Runs comfortably |
| GGUF Q6_K (Qwen) | 6.3 GB | llama.cpp | 6.4 GiB–6.9 GiB | Runs comfortably |
| GGUF Q5_K_M | 5.4 GB | llama.cpp | 5.6 GiB–6.1 GiB | Runs comfortably |
| GGUF Q4_K_M | 4.7 GB | llama.cpp | 4.9 GiB–5.4 GiB | Runs comfortably |
Same context (8,192 tokens), one chat at a time, each file with its usual engine.
Settings used
- ModelQwen2.5-7B-Instruct
- HardwareGeForce RTX 4090 24GB (desktop)
- QuantizationBF16 safetensors
- Context length (cached tokens)8,192
- Engine
vllm - Concurrent sequences1
- KV cache typefp16
Technical identifiers and share data
- Model
qwen2.5-7b-instruct - Hardware
nvidia-geforce-rtx-4090-24gb-desktop - Quantization
bf16 - Share fragment for this identity
v2.eyJzY2hlbWFWZXJzaW9uIjoyLCJjYWxjdWxhdG9yVmVyc2lvbiI6IjAuMy4wIiwiZGF0YXNldFZlcnNpb24iOiIyMDI2LTEwLTAyLjEiLCJjb25maWciOnsibW9kZWxJZCI6InF3ZW4yLjUtN2ItaW5zdHJ1Y3QiLCJoYXJkd2FyZUlkIjoibnZpZGlhLWdlZm9yY2UtcnR4LTQwOTAtMjRnYi1kZXNrdG9wIiwiZGV2aWNlQ291bnQiOjEsInF1YW50aXphdGlvbklkIjoiYmYxNiIsImNvbnRleHRUb2tlbnMiOjgxOTIsImNvbmN1cnJlbnRTZXF1ZW5jZXMiOjEsImVuZ2luZSI6InZsbG0iLCJrdlR5cGUiOiJmcDE2In19
How this number is calculated
Total = weight file + KV cache + runtime buffers. The range spans low to high runtime overhead for the engine shown.
- Weights (file)
- 14.19 GiB (15,231,233,024 bytes)
- KV cache
- 0.44 GiB (469,762,048 bytes)
- Runtime buffers
- 0.63 GiB–2.51 GiB
- Total
- 15.25 GiB–17.14 GiB
- Usable memory
- 22.00 GiB
- OS / display reserve
- 2.00 GiB
- Left over
- 4.86 GiB–6.75 GiB
17.14 GiB high estimate vs 22.00 GiB net
Enough memory does not mean this engine, quant, and OS will run. Support does not mean it will be fast.
- Requested context is within the recorded native window of 32768 tokens.
- Full-resident weight estimates use total parameters, including inactive MoE experts.
- Weight bytes come from the selected weight files only, not from every file in the repository.
- Download file size is not peak GPU memory. Runtime layout, allocator padding, and KV are extra.
- Counted files: model-00001-of-00004.safetensors, model-00002-of-00004.safetensors, model-00003-of-00004.safetensors, model-00004-of-00004.safetensors.
- Context budget is the number of cached tokens per sequence (prompt plus reserved generation).
- Concurrent sequences share one model replica; weights are not multiplied by sequence count.
- KV dtype is independent of weight quantization unless you change it.
Related pages
Sources
- Qwen2.5-7B-Instruct model card
- config.json — revision a09a35458c702b33eeacc393d103063234e8bc28
- safetensors index — metadata.total_size=15231233024
- Artifact repo Qwen/Qwen2.5-7B-Instruct-GGUF
- NVIDIA GeForce RTX 4090 product page — Standard Memory Config 24 GB GDDR6X
Calculator
This combo page keeps the route model and device. Customize to change them on the main calculator; the share then keeps that identity.
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