LLMs ·

CogVLM2 Llama 3 Chat 19B

Parameters
20B
Architecture
Dense
Max context
8K tokens
License
cogvlm2
Released
2024-05

How to run it

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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Memory needed

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

Quantization Quality Weights Total at 8K context Download
Q2_K Low 7.8 GB 12.7 GB All files (opens in a new tab)
Q3_K_M Low 9.6 GB 14.4 GB All files (opens in a new tab)
Q4_K_M Good 11.9 GB 16.8 GB All files (opens in a new tab)
Q5_K_M High 13.8 GB 18.7 GB All files (opens in a new tab)
Q6_K High 16.0 GB 20.9 GB All files (opens in a new tab)
Q8_0 Very high 20.7 GB 25.6 GB All files (opens in a new tab)
F16 Full 39.0 GB 43.9 GB Original weights (opens in a new tab)

Best hardware for CogVLM2 Llama 3 Chat 19B

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon RX 7600 XT (launch price $329) at Q3_K_M.

Quality Hardware Quant Memory Speed Runs
38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5090 Founders EditionNVIDIA GeForce RTX 5090 Q8_0 27.2 GB / 32.0 GB 57.4 tok/s Runs great
36Basic quality (D) · 36 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. Sapphire NITRO+ AMD Radeon RX 7900 XTX Vapor-X 24GBAMD Radeon RX 7900 XTX Q5_K_M 19.9 GB / 24.0 GB 43.0 tok/s Runs great
36Basic quality (D) · 36 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. ASUS ROG Strix GeForce RTX 3090 OC Edition 24GB GDDR6XNVIDIA GeForce RTX 3090 Q5_K_M 19.9 GB / 24.0 GB 48.7 tok/s Runs great
36Basic quality (D) · 36 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4090 Founders EditionNVIDIA GeForce RTX 4090 Q5_K_M 19.9 GB / 24.0 GB 52.4 tok/s Runs great
31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. Sapphire NITRO+ AMD Radeon RX 9070 XT OCAMD Radeon RX 9070 XT Q3_K_M 15.2 GB / 16.0 GB 44.9 tok/s Runs welltight fit
31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4070 Ti SUPERNVIDIA GeForce RTX 4070 Ti SUPER Q3_K_M 15.2 GB / 16.0 GB 54.7 tok/s Runs welltight fit
31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4080 SUPERNVIDIA GeForce RTX 4080 SUPER Q3_K_M 15.2 GB / 16.0 GB 59.9 tok/s Runs welltight fit
31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. ASUS TUF Gaming GeForce RTX 5070 Ti 16GB GDDR7 OC EditionNVIDIA GeForce RTX 5070 Ti Q3_K_M 15.2 GB / 16.0 GB 72.9 tok/s Runs welltight fit
31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5080 Founders EditionNVIDIA GeForce RTX 5080 Q3_K_M 15.2 GB / 16.0 GB 78.1 tok/s Runs welltight fit
31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. ASUS Dual GeForce RTX 5060 Ti 16GB GDDR7 OC EditionNVIDIA GeForce RTX 5060 Ti 16GB Q3_K_M 15.2 GB / 16.0 GB 36.5 tok/s Runs welltight fit

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.

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