InternLM2 Chat 20B on NVIDIA GeForce RTX 4080 SUPER

Can the NVIDIA GeForce RTX 4080 SUPER run InternLM2 Chat 20B?

71 pts

Yes, with little memory to spare

Tight fit. At Q4_K_M it needs about 15.1 GB of 16.0 GB usable, with an estimated speed of 45.5 tok/s.

Best quant: Q4_K_M
Generation speed: 45.5 tok/s
Prompt processing: 1,892 tok/s
First token (1K prompt): 0.5 s
Largest safe context: 12K

Download InternLM2 Chat 20B

Recommended for the NVIDIA GeForce RTX 4080 SUPER: Q4_K_M. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q4_K_M file (opens in a new tab)

huggingface.co/mradermacher/internlm2-chat-20b-i1-GGUF (opens in a new tab)

ollama run hf.co/mradermacher/internlm2-chat-20b-i1-GGUF:Q4_K_M

Original weights · Hugging Face

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

huggingface.co/internlm/internlm2-chat-20b (opens in a new tab)

No sign-in needed.

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

How the B grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	18.0 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Total	72.0 / 100	71 ptsGood (B) · 71 of 100 points: Model quality 18.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the NVIDIA GeForce RTX 4080 SUPER

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	11.0 GB	16.0 GB	74.7 tok/s	Runs well	68 ptsGood (B) · 68 of 100 points: Model quality 13.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q3_K_M`	12.7 GB	16.0 GB	58.8 tok/s	Runs well	70 ptsGood (B) · 70 of 100 points: Model quality 15.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q4_K_M`	15.1 GB	16.0 GB	45.5 tok/s	Tight fit	71 ptsGood (B) · 71 of 100 points: Model quality 18.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q5_K_M`	17.1 GB	16.0 GB	21.0 tok/s	Runs with offload	54 ptsUsable (C) · 54 of 100 points: Model quality 18.3/45, Memory fit 10.0/25, Speed 10.9/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q6_K`	19.3 GB	16.0 GB	10.4 tok/s	Runs with offload	51 ptsUsable (C) · 51 of 100 points: Model quality 18.7/45, Memory fit 10.0/25, Speed 7.7/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q8_0`	24.1 GB	16.0 GB	4.8 tok/s	Heavy offload	43 ptsUsable (C) · 43 of 100 points: Model quality 18.9/45, Memory fit 4.0/25, Speed 5.2/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`F16`	42.7 GB	16.0 GB	—	Won't run	5 ptsWon't run (F) · 5 of 100 points: Model quality 5.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

73 ptsGreat (A) · 73 of 100 points: Model quality 18.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q8_0 · 56.4 tok/s
73 ptsGreat (A) · 73 of 100 points: Model quality 18.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 Q6_K · 40.1 tok/s
73 ptsGreat (A) · 73 of 100 points: Model quality 18.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 Q6_K · 43.2 tok/s
73 ptsGreat (A) · 73 of 100 points: Model quality 18.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX Q5_K_M · 42.2 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 18.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 Ti SUPER Q4_K_M · 41.5 tok/s

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.