StarCoder2 15B Instruct on NVIDIA GeForce RTX 4070 SUPER

Can the NVIDIA GeForce RTX 4070 SUPER run StarCoder2 15B Instruct?

70 pts

Yes, with little memory to spare

Tight fit. At Q4_K_M it needs about 11.6 GB of 12.0 GB usable, with an estimated speed of 38.8 tok/s.

Best quant: Q4_K_M
Generation speed: 38.8 tok/s
Prompt processing: 1,602 tok/s
First token (1K prompt): 0.6 s
Largest safe context: 12K

Download StarCoder2 15B Instruct

Recommended for the NVIDIA GeForce RTX 4070 SUPER: Q4_K_M. Every other quantization has its own download link in the table below.

Quickest · Ollama

One command downloads a ready-to-run version and starts a chat.

ollama run starcoder2:15b-instruct-v0.1-q4_K_M

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

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/lmstudio-community/starcoder2-15b-instruct-v0.1-GGUF (opens in a new tab)

ollama run hf.co/lmstudio-community/starcoder2-15b-instruct-v0.1-GGUF:Q4_K_M

Original weights · Hugging Face

Full-precision files from BigCode, for fine-tuning, vLLM, Transformers.

huggingface.co/bigcode/starcoder2-15b-instruct-v0.1 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from BigCode. The weights themselves download from Hugging Face.

github.com/bigcode-project/starcoder2 (opens in a new tab)

git clone https://github.com/bigcode-project/starcoder2

Links checked 7 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.	17.1 / 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.	14.8 / 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	70.9 / 100	70 ptsGood (B) · 70 of 100 points: Model quality 17.1/45, Memory fit 24.0/25, Speed 14.8/15, 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 4070 SUPER

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	8.3 GB	12.0 GB	63.7 tok/s	Runs well	67 ptsGood (B) · 67 of 100 points: Model quality 12.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q3_K_M`	9.7 GB	12.0 GB	50.1 tok/s	Runs well	70 ptsGood (B) · 70 of 100 points: Model quality 15.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15
`Q4_K_M`	11.6 GB	12.0 GB	38.8 tok/s	Tight fit	70 ptsGood (B) · 70 of 100 points: Model quality 17.1/45, Memory fit 24.0/25, Speed 14.8/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q5_K_M`	13.2 GB	12.0 GB	18.9 tok/s	Runs with offload	52 ptsUsable (C) · 52 of 100 points: Model quality 17.5/45, Memory fit 10.0/25, Speed 10.3/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q6_K`	15.0 GB	12.0 GB	10.8 tok/s	Runs with offload	50 ptsUsable (C) · 50 of 100 points: Model quality 17.8/45, Memory fit 10.0/25, Speed 7.8/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q8_0`	18.8 GB	12.0 GB	5.4 tok/s	Heavy offload	42 ptsUsable (C) · 42 of 100 points: Model quality 18.0/45, Memory fit 4.0/25, Speed 5.5/15, Memory use 15.0/15	GGUF (opens in a new tab)
`F16`	33.8 GB	12.0 GB	—	Won't run	5 ptsWon't run (F) · 5 of 100 points: Model quality 5.4/45, 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

72 ptsGreat (A) · 72 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 14.9/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 Q8_0 · 39.5 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 17.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX Q6_K · 44.1 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 17.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 Q6_K · 49.9 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 17.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 Ti SUPER Q5_K_M · 42.7 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 17.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4080 SUPER Q5_K_M · 46.8 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 17.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5070 Ti Q5_K_M · 56.9 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.