Can an RTX 4060 run Qwen2.5-7B-Instruct?
Yes Qwen2.5-7B-Instruct at Q4_K_M needs 4.92 GiB–5.42 GiB at 8,192 tokens of context. The RTX 4060 has about 7 GiB usable.
2 files, 4.7 GB in total.
These are estimates from the model's config and file sizes, not measurements. How we calculate
How much room is left
- Context can grow to about 23,552 tokens before it stops fitting cleanly.
- A larger file also fits: GGUF Q5_K_M needs about 6.1 GiB (Fits).
Other files on this GPU
| Quant | File size | Engine | Total | Fit |
|---|---|---|---|---|
| BF16 safetensors | 15.2 GB | vllm | 15.2 GiB–17.1 GiB | Does not fit |
| GGUF Q8_0 | 8.1 GB | llama.cpp | 8.1 GiB–8.7 GiB | Does not fit |
| GGUF Q6_K (Qwen) | 6.3 GB | llama.cpp | 6.4 GiB–6.9 GiB | Tight fit |
| GGUF Q5_K_M | 5.4 GB | llama.cpp | 5.6 GiB–6.1 GiB | Fits |
| GGUF Q4_K_M This page | 4.7 GB | llama.cpp | 4.9 GiB–5.4 GiB | Fits |
Same context (8,192 tokens), one chat at a time, each file with its usual engine.
Settings used
- ModelQwen2.5-7B-Instruct
- HardwareGeForce RTX 4060 8GB (desktop)
- QuantizationGGUF Q4_K_M
- Context length (cached tokens)8,192
- Engine
llama.cpp - Concurrent sequences1
- KV cache typefp16
Technical identifiers and share data
- Model
qwen2.5-7b-instruct - Hardware
nvidia-geforce-rtx-4060-8gb-desktop - Quantization
gguf-q4_k_m - Share fragment for this identity
v2.eyJzY2hlbWFWZXJzaW9uIjoyLCJjYWxjdWxhdG9yVmVyc2lvbiI6IjAuMy4wIiwiZGF0YXNldFZlcnNpb24iOiIyMDI2LTEwLTAyLjEiLCJjb25maWciOnsibW9kZWxJZCI6InF3ZW4yLjUtN2ItaW5zdHJ1Y3QiLCJoYXJkd2FyZUlkIjoibnZpZGlhLWdlZm9yY2UtcnR4LTQwNjAtOGdiLWRlc2t0b3AiLCJkZXZpY2VDb3VudCI6MSwicXVhbnRpemF0aW9uSWQiOiJnZ3VmLXE0X2tfbSIsImNvbnRleHRUb2tlbnMiOjgxOTIsImNvbmN1cnJlbnRTZXF1ZW5jZXMiOjEsImVuZ2luZSI6ImxsYW1hLmNwcCIsImt2VHlwZSI6ImZwMTYifX0
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)
- 4.36 GiB (4,683,073,632 bytes)
- KV cache
- 0.44 GiB (469,762,048 bytes)
- Runtime buffers
- 0.13 GiB–0.62 GiB
- Total
- 4.92 GiB–5.42 GiB
- Usable memory
- 7.00 GiB
- OS / display reserve
- 1.00 GiB
- Left over
- 1.58 GiB–2.08 GiB
5.42 GiB high estimate vs 7.00 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: qwen2.5-7b-instruct-q4_k_m-00001-of-00002.gguf, qwen2.5-7b-instruct-q4_k_m-00002-of-00002.gguf.
- 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 40 Series specs — Memory Size 8 GB GDDR6
Calculator
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