Budget Pick
NVIDIA GeForce RTX 3070 Ti8 GB VRAM · ~103.5 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
InternLM 2.5 7B is a 7B parameter model from the InternLM family. Check if your hardware can handle it.
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Social proof
71% of 1,567 scanned PCs run InternLM 2.5 7B fully on GPU.
1,235 keep at least some work on GPU. Based on anonymous compatibility checks.
Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 4.7 GB | 5.5 GB | 8 GB | 8 GB | 8K / 32K |
Not sure your GPU has enough VRAM? Compare GPUs that can run InternLM 2.5 7B.
These GPUs meet the recommended 8 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Budget Pick
NVIDIA GeForce RTX 3070 Ti8 GB VRAM · ~103.5 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonFastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~305 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 3080 10GB10 GB VRAM · ~129.4 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for InternLM 2.5 7B.
Strong OpenClaw Model Candidate
InternLM 2.5 7B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.
Why choose InternLM 2.5 7B?
General-purpose local model brief
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.