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Can the UP Squared Pro 7000 (8 GB) run Selene 1 Mini 8B?

76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.

No, it doesn’t fit

No. Selene 1 Mini 8B needs about 6.1 GB even at Q4_K_M; the UP Squared Pro 7000 (8 GB) has 4.0 GB usable.

Download Selene 1 Mini 8B

Recommended: Q4_K_M. Every other quantization has its own download link in the table below.

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/bartowski/Selene-1-Mini-Llama-3.1-8B-GGUF (opens in a new tab)

ollama run hf.co/bartowski/Selene-1-Mini-Llama-3.1-8B-GGUF:Q4_K_M

Original weights · Hugging Face

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

huggingface.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B (opens in a new tab)

No sign-in needed.

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

How it’s rated

Quality 76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 10/100 (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 UP Squared Pro 7000 (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.10.3 / 45
Memory fitFull marks when the model fits in the share of unified memory the GPU can use; 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 score10.3 / 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 UP Squared Pro 7000 (8 GB)

Quant Memory needed Available Speed Runs Quality Download
Q4_K_M 6.1 GB 4.0 GB — Won't run 76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 10/100 (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 77Great quality (A) · 77 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 10/100 (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 79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 10/100 (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 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 10/100 (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 80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 10/100 (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 1,024-token input and about 150 tokens written. Batching servers process many requests at once.

Hardware that can run it

Models that do run on the UP Squared Pro 7000 (8 GB)

Quick answers

How much memory does Selene 1 Mini 8B need on the UP Squared Pro 7000 8GB?

Even at Q4_K_M it needs about 6.1 GB; the UP Squared Pro 7000 8GB has 4.0 GB usable.

What can the UP Squared Pro 7000 8GB run instead?

OpenAI Privacy Filter, GLiNER2.5 Decide and Llama Prompt Guard 2 22M run best on it; the page lists more, each with its speed.

What hardware can run Selene 1 Mini 8B?

NVIDIA B200 180GB, AMD Instinct MI350X 288GB and NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip 252GB 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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