What should I use? · A handful, not a thousand
Say what you want
to do. Get three.
Pick the job, confirm your machine, and you get at most three open models we would take for it, each with the reason, the file and whether it runs on your card. No scores on this page. The numbers behind the choice sit behind one link.
1 What do you want to do?
2 Your machine
3 Our three
Write & chat · on your RTX 4090 · lists checked 2026-11-09
Qwen3.8 27B. Runs at 8K, barely fits at 32K.
5 of 5 on our write & chat list run on your RTX 4090. Order: whether it runs first, then most popular.
1 of 5more popular ▲
Qwen3.8 27BAlibaba Qwen · 27.8B · Q4_K_M · released Aug 2026
RunsAlibaba's dense 27B of the Qwen3.8 line: the most downloaded model of its size on the Hub in the last 30 days, and a 262K window.
- File
- 15.3 GB
- At 8K
- 17.1 GB · runs
- At 32K
- 19.4 GB · barely fits
- Tools
- llama.cpp, LM Studio, Ollama
Show the numbers
- 30-day downloads
- 7,232,703
- Popularity
- more popular ▲
- On the list since
- 2026-11-03
Start it in one line
- llama.cpp
llama-server -hf unsloth/Qwen3.8-27B-GGUF:Q4_K_M - Ollama
ollama run hf.co/unsloth/Qwen3.8-27B-GGUF:Q4_K_M
Both lines name the repo and quantisation of the measured file; the tool fetches it from the Hub.
2 of 5about the same ◆
Gemma 4 E4BGoogle · 8B · Q4_K_M · released Mar 2026
Runs easilyGoogle's small Gemma 4 for 8 GB cards: eight billion on disk, four active in memory, this week's pick of the week.
- File
- 4.6 GB
- At 8K
- 5.8 GB · runs easily
- At 32K
- 7.2 GB · runs easily
- Tools
- llama.cpp, LM Studio, Ollama
Show the numbers
- 30-day downloads
- 4,277,843
- Popularity
- about the same ◆
- On the list since
- 2026-11-03
Start it in one line
- llama.cpp
llama-server -hf unsloth/gemma-4-E4B-it-GGUF:Q4_K_M - Ollama
ollama run hf.co/unsloth/gemma-4-E4B-it-GGUF:Q4_K_M
Both lines name the repo and quantisation of the measured file; the tool fetches it from the Hub.
3 of 5about the same ◆
Ornith 1.5 9BOrnith AI · 9.7B · Q4_K_M · released Aug 2026
Runs easilyOrnith's dense 9.7B from August 2026, a 5 GB file with a 262K window; a pick of the week in October.
- File
- 5.4 GB
- At 8K
- 6.7 GB · runs easily
- At 32K
- 8.2 GB · runs easily
- Tools
- llama.cpp, LM Studio, Ollama
Show the numbers
- 30-day downloads
- 523,602
- Popularity
- about the same ◆
- On the list since
- 2026-11-03
Start it in one line
- llama.cpp
llama-server -hf ornith-ai/Ornith-1.5-9B-GGUF:Q4_K_M - Ollama
ollama run hf.co/ornith-ai/Ornith-1.5-9B-GGUF:Q4_K_M
Both lines name the repo and quantisation of the measured file; the tool fetches it from the Hub.
The list moves
Checked every Monday with the catalog run; last check 2026-11-09. The order and the fit update twice a day from the radar.
Your card is remembered
Come back with a new job and the answer is one click away. Change the card any time.
Stored in your browser only.
Tell me when a list changes
The Monday report carries one line per list that changed, with your card.
Monday mailHow the three are chosen
Each job has a list of at most 5 open models, kept by hand with a date and a reason for every entry, and published below. A model gets on a list only if its weights are open, it runs in a common tool (llama.cpp, LM Studio, Ollama), it sits among the most downloaded of its kind on Hugging Face, and it was released within the last 12 months; a successor replaces its predecessor once it meets the rule. Nothing on a list is a quality verdict. On your machine the page orders the list: first by how the file fits your card at 8K and 32K, then by popularity direction and 30-day downloads, or by file size when you ask for quick replies or the biggest that fits. The first 3 are shown; the rest are a click away. Every Monday the catalog run proposes additions that meet the rule and removals after 3 weeks of fading; a person accepts or rejects each one, and the page says when the lists were last checked.
Show today's lists (checked 2026-11-09)
- Write & chat
- Qwen3.8 27B · Gemma 4 31B · Gemma 4 12B · Gemma 4 E4B · Ornith 1.5 9B
- Code
- Qwen3.8 27B · Devstral Small 2 24B · GLM-4.7-Flash · Ornith 1.5 35B-A3B · Granite 4.2 8B
- Long documents
- Qwen3.8 27B · Gemma 4 31B · Gemma 4 12B · Gemma 4 E4B · Ornith 1.5 9B
- Train a model
- Qwen3.8 27B · Devstral Small 2 24B · Granite 4.2 8B · Granite 4.2 3B · LFM2.5 1.2B
- Make images
- Qwen-Image 2.1 Turbo · Z-Image Turbo · MOSS-Image · Krea 2 Turbo · FLUX.2 Klein 4B
- Make video
- LTX-2.5 · MiniMax-H3 · HunyuanVideo 1.5