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Can the Intel Core i5-8400T / i7-8700T (8th gen desktop) NAS (64 GB) run CogVLM2 Llama 3 Chat 19B?

26Basic quality (D) · 26 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.

Yes, but slowly

Slow. At Q2_K it needs about 17.0 GB of 54.4 GB usable, with an estimated speed of 3.4 tok/s.

Best quant
Q2_K
Generation speed
3.4 tok/s
Prompt processing
5.6 tok/s
First token (1K prompt)
181.5 s
Largest safe context
8K

Download CogVLM2 Llama 3 Chat 19B

Original weights · Hugging Face

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

huggingface.co/zai-org/cogvlm2-llama3-chat-19B (opens in a new tab)

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Links checked 2 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 26Basic quality (D) · 26 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.
How capable the model itself is at Q2_K, from its editorial quality tier scaled by the quantization or precision. It’s the same on any hardware that runs this variant. Scale: A+ 85+ · A 70+ · B 55+ · C 40+ · D under 40.
Runs Slow
How well it runs on the Intel Core i5-8400T / i7-8700T (8th gen desktop) NAS (64 GB): speed, capped by how well it fits in memory. Runs great: 30+ tokens/s (or near the image, video or decision speed target) · Runs well: 10+ tokens/s · Slow: 3+ tokens/s · Very slow: under 3 · Won’t run: doesn’t fit even with offload. A tight fit or RAM offload caps it at Runs well; heavy offload caps it at Slow.

Match score

To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.12.0 / 45
Memory fitFull marks when the model fits in the share of the NAS’s memory that models can use (the rest stays with the NAS system and its storage services); fewer when it goes past that limit.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.4.4 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.7.2 / 15
Match score48.6 / 100

The match score orders results; it is not shown as a grade. Quality and Runs are the two ratings in the tables.

Every quantization on the Intel Core i5-8400T / i7-8700T (8th gen desktop) NAS (64 GB)

Quant Memory needed Available Speed Runs Quality Download
Q2_K 17.0 GB 54.4 GB 3.4 tok/s Slow 26Basic quality (D) · 26 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q3_K_M 18.8 GB 54.4 GB 2.7 tok/s Very slow 31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q4_K_M 21.1 GB 54.4 GB 2.1 tok/s Very slow 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q5_K_M 23.1 GB 54.4 GB 1.7 tok/s Very slow 36Basic quality (D) · 36 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q6_K 25.2 GB 54.4 GB 1.4 tok/s Very slow 37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q8_0 29.9 GB 54.4 GB 1.0 tok/s Very slow 38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
F16 48.2 GB 54.4 GB 0.5 tok/s Very slowtight fit 38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 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

Quick answers

How much memory does CogVLM2 Llama 3 Chat 19B need on the Intel Core i5-8400T / i7-8700T (8th gen desktop) NAS 64GB?

At Q2_K it needs about 17.0 GB. The Intel Core i5-8400T / i7-8700T (8th gen desktop) NAS 64GB has 54.4 GB usable.

How fast is CogVLM2 Llama 3 Chat 19B on the Intel Core i5-8400T / i7-8700T (8th gen desktop) NAS 64GB?

About 3.4 tok/s at Q2_K, an estimate from the hardware’s memory bandwidth and the size of the model.

Which quantization of CogVLM2 Llama 3 Chat 19B should I use on the Intel Core i5-8400T / i7-8700T (8th gen desktop) NAS 64GB?

Q2_K. Of the versions that fit, it is the one that runs best; when two run equally well, the check prefers the higher-rated one.

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.

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