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LLMs ·

InternLM 7B

Parameters
7.3B
Architecture
Dense
Max context
2K tokens
License
internlm
Released
2023-07

How to run it

Original weights · Hugging Face

Full-precision files from Shanghai AI Lab, for fine-tuning, vLLM, Transformers.

huggingface.co/internlm/internlm-7b (opens in a new tab)

No sign-in needed.

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

Quantization Quality Weights Total at 2K context Download
Q2_K Low 2.9 GB 4.6 GB All files (opens in a new tab)
Q3_K_M Low 3.6 GB 5.3 GB All files (opens in a new tab)
Q4_K_M Good 4.5 GB 6.1 GB All files (opens in a new tab)
Q5_K_M High 5.2 GB 6.9 GB All files (opens in a new tab)
Q6_K High 6.0 GB 7.7 GB All files (opens in a new tab)
Q8_0 Very high 7.8 GB 9.4 GB All files (opens in a new tab)
F16 Full 14.6 GB 16.3 GB Original weights (opens in a new tab)

Best hardware for InternLM 7B

The least expensive GPU in our catalog that runs it without offloading is the Intel Arc A380 (launch price $139) at Q2_K.

Grade · points Hardware Quant Memory Speed Fit
60 ptsGood (B) · 60 of 100 points: Model quality 5.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 SUPER Q8_0 10.0 GB / 12.0 GB 43.0 tok/s Runs well
60 ptsGood (B) · 60 of 100 points: Model quality 5.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Intel Arc B580 Q6_K 8.3 GB / 12.0 GB 40.5 tok/s Runs well
60 ptsGood (B) · 60 of 100 points: Model quality 5.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3060 12GB Q6_K 8.3 GB / 12.0 GB 41.9 tok/s Runs well
60 ptsGood (B) · 60 of 100 points: Model quality 5.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.8/15 AMD Radeon RX 9070 XT Q8_0 10.2 GB / 16.0 GB 47.0 tok/s Runs well
60 ptsGood (B) · 60 of 100 points: Model quality 5.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.8/15 NVIDIA GeForce RTX 4070 Ti SUPER Q8_0 10.2 GB / 16.0 GB 57.4 tok/s Runs well
60 ptsGood (B) · 60 of 100 points: Model quality 5.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.8/15 NVIDIA GeForce RTX 4080 SUPER Q8_0 10.2 GB / 16.0 GB 62.8 tok/s Runs well
60 ptsGood (B) · 60 of 100 points: Model quality 5.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.8/15 NVIDIA GeForce RTX 5070 Ti Q8_0 10.2 GB / 16.0 GB 76.5 tok/s Runs well
60 ptsGood (B) · 60 of 100 points: Model quality 5.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.8/15 NVIDIA GeForce RTX 5080 Q8_0 10.2 GB / 16.0 GB 82.0 tok/s Runs well
60 ptsGood (B) · 60 of 100 points: Model quality 5.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4060 Q4_K_M 6.5 GB / 8.0 GB 45.6 tok/s Runs well
58 ptsGood (B) · 58 of 100 points: Model quality 5.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.9/15 NVIDIA GeForce RTX 5090 F16 17.9 GB / 32.0 GB 70.5 tok/s Runs well

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.