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Can the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (8 GB) run Llama Guard 3 8B?

64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.

No, it doesn’t fit

No. Llama Guard 3 8B needs about 6.1 GB even at Q4_K_M; the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (8 GB) has 4.0 GB usable.

Download Llama Guard 3 8B

Recommended: 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.

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

ollama run llama-guard3:8b-q4_K_M

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/Llama-Guard-3-8B-GGUF (opens in a new tab)

ollama run hf.co/mradermacher/Llama-Guard-3-8B-GGUF:Q4_K_M

Original weights · Hugging Face

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

huggingface.co/meta-llama/Llama-Guard-3-8B (opens in a new tab)

Free Hugging Face account needed: request access on the model page, and Meta approves it (usually within minutes to a few hours).

Links checked 3 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.
How capable the model itself is at Q4_K_M, 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 Won't run
How well it runs on the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (8 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.

PrecisionEditorial precision tier from the model’s published benchmarks, scaled by the quantization or precision used.8.7 / 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.0.0 / 25
SpeedTime for one decision against a 100 ms target: reading the input plus any tokens the model writes.0.0 / 15
ClarityHow easy the answer is to use in code: a probability or score earns the most, written feedback before a score the least.0.0 / 15
Match score8.7 / 100

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

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

Every quantization on the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (8 GB)

Quant Memory needed Available Speed Runs Quality Download
Q4_K_M 6.1 GB 4.0 GB — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
Q5_K_M 6.9 GB 4.0 GB — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
Q6_K 7.8 GB 4.0 GB — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
Q8_0 9.7 GB 4.0 GB — Won't run 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
F16 17.2 GB 4.0 GB — Won't run 68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab) Original weights (opens in a new tab)

Times are for one request with a 512-token input and about 6 tokens written. Batching servers process many requests at once.

Hardware that can run it

Models that do run on the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (8 GB)

Quick answers

How much memory does Llama Guard 3 8B need on the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS 8GB?

Even at Q4_K_M it needs about 6.1 GB; the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS 8GB has 4.0 GB usable.

What can the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS 8GB run instead?

Jina Reranker v3.5, Jina Reranker v3 and mxbai-rerank-large v2 run best on it; the page lists more, each with its speed.

What hardware can run Llama Guard 3 8B?

NVIDIA RTX PRO 6000 Blackwell 96GB, RTX 5090 32GB and RX 7900 XTX 24GB run it; the page lists more, each with its speed.

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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