DeepHermes 3 Llama 3 8B Preview on NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU
Can the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU run DeepHermes 3 Llama 3 8B Preview?
Yes, it runs well (tight fit)
Runs well (tight fit). At Q3_K_M it needs about 5.9 GB of 6.0 GB usable, with an estimated speed of 66.4 tok/s.
- Best quant
Q3_K_M- Generation speed
- 66.4 tok/s
- Prompt processing
- 825 tok/s
- First token (1K prompt)
- 1.2 s
- Largest safe context
- 8K
Best app to run it on the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU
On Windows
- Point-and-click: search, download and chat in one window.
On Linux
- Point-and-click: search, download and chat in one window.
Download DeepHermes 3 Llama 3 8B Preview
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/NousResearch/DeepHermes-3-Llama-3-8B-Preview-GGUF (opens in a new tab)
ollama run hf.co/NousResearch/DeepHermes-3-Llama-3-8B-Preview-GGUFOriginal weights · Hugging Face
Full-precision files from Nous Research, for fine-tuning, vLLM, Transformers.
huggingface.co/NousResearch/DeepHermes-3-Llama-3-8B-Preview (opens in a new tab)
How it’s rated
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 quality | 17.4 / 45 | |
|---|---|---|
| Memory fit | 24.0 / 25 | |
| Speed | 15.0 / 15 | |
| Memory use | 15.0 / 15 | |
| Match score | 71.4 / 100 |
Every quantization on the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 5.2 GB | 6.0 GB | 84.4 tok/s | Runs welltight fit | 32Basic quality (D) · 32 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q3_K_M | 5.9 GB | 6.0 GB | 66.4 tok/s | Runs welltight fit | 38Basic quality (D) · 38 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q4_K_M | 6.9 GB | 6.0 GB | 29.9 tok/s | Runs welloffloads to RAM | 43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q5_K_M | 7.7 GB | 6.0 GB | 19.4 tok/s | Runs welloffloads to RAM | 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q6_K | 8.6 GB | 6.0 GB | 13.9 tok/s | Slowheavy RAM offload | 45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q8_0 | 10.5 GB | 6.0 GB | 8.4 tok/s | Slowheavy RAM offload | 46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
F16 | 18.0 GB | 6.0 GB | 3.0 tok/s | Very slowheavy RAM offload | 46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 43/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) 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
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46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 9070 XT
-
46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
-
46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5070 Ti
-
46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5080
-
45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
Quick answers
How much memory does DeepHermes 3 Llama 3 8B Preview need on the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU 6GB?
At Q3_K_M it needs about 5.9 GB. The NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU 6GB has 6.0 GB usable.
How fast is DeepHermes 3 Llama 3 8B Preview on the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU 6GB?
About 66.4 tok/s at Q3_K_M, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of DeepHermes 3 Llama 3 8B Preview should I use on the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU 6GB?
Q3_K_M. 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.