A 15B chat model from Alibaba Qwen.
- Downloads
- 258K
- Likes
- 179
- Parameters
- 15B
- Context
- 32K
- Licence
- apache-2.0
Runs well on M4 · 16 GB
The Q4_1 size from ThomasBaruzier is the one to get: a 9.4 GB download that uses 10 GB of memory, and writes about 4.9 words a second.
Qwen2.5 14B runs well from a Mac with an M1 and 8 GB of memory. 59 of 59 Mac configurations run it well.
Compare with
The nearest models in size.
- Qwen3 14BAlibaba Qwen · 619K downloadsRuns well · 9.0 GB · 4.8 words/s
- Phi 4Microsoft · 72K downloads · Arena 1256Runs well · 9.3 GB · 4.9 words/s
- Qwen 14BAlibaba Qwen · 1.1K downloads · Arena 1139Runs well · 5.8 GB · 2.2 words/s
- Phi 3 Medium 128KMicrosoft · 12K downloadsRuns well · 8.7 GB · 4.5 words/s
Sizes
From ThomasBaruzier/Qwen2.5-14B-Instruct-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.
| Size | Download | Memory at 8K | Get |
|---|---|---|---|
| IQ1_S | 3.6 GB | 4.6 GBestimated | Open |
| IQ1_M | 3.9 GB | 4.9 GBestimated | Open |
| IQ2_XXS | 4.3 GB | 5.4 GBestimated | Open |
| IQ2_XS | 4.7 GB | 5.7 GBestimated | Open |
| IQ2_S | 5.0 GB | 6.0 GBestimated | Open |
| IQ2_M | 5.4 GB | 6.4 GBestimated | Open |
| Q2_K_S | 5.4 GB | 6.4 GBestimated | Open |
| Q2_K | 5.8 GB | 6.8 GBestimated | Open |
| IQ3_XXS | 5.9 GB | 7.0 GBestimated | Open |
| IQ3_XS | 6.4 GB | 7.4 GBestimated | Open |
| Q3_K_S | 6.7 GB | 7.7 GBestimated | Open |
| IQ3_S | 6.7 GB | 7.7 GBestimated | Open |
| IQ3_M | 6.9 GB | 8.0 GBestimated | Open |
| Q3_K_M | 7.3 GB | 8.4 GBestimated | Open |
| Q3_K_L | 7.9 GB | 9.0 GBestimated | Open |
| IQ4_XS | 8.1 GB | 9.2 GBestimated | Open |
| Q4_0_4_4 | 8.5 GB | 9.6 GBestimated | Open |
| Q4_0_4_8 | 8.5 GB | 9.6 GBestimated | Open |
| Q4_0_8_8 | 8.5 GB | 9.6 GBestimated | Open |
| Q4_0 | 8.5 GB | 9.6 GBestimated | Open |
| IQ4_NL | 8.5 GB | 9.6 GBestimated | Open |
| Q4_K_S | 8.6 GB | 9.6 GBestimated | Open |
| Q4_K_M | 9.0 GB | 10 GBestimated | Open |
| Q4_1 | 9.4 GB | 10 GBestimated | Open |
| Q5_K_S | 10 GB | 11 GBestimated | Open |
| Q5_0 | 10 GB | 11 GBestimated | Open |
| Q5_K_M | 11 GB | 12 GBestimated | Open |
| Q5_1 | 11 GB | 12 GBestimated | Open |
| Q6_K | 12 GB | 13 GBestimated | Open |
| Q8_0 | 16 GB | 17 GBestimated | Open |
| F16 | 30 GB | 31 GBestimated | Open |
Run It Anywhere
Qwen2.5 14B is an open model, so any app that runs GGUF files can run it. These take the Q4_1 size from ThomasBaruzier straight from Hugging Face.
- LM StudioMac, Windows, Linux
Open - JanMac, Windows, Linux
Open - MstyMac, Windows, Linux
Open - OllamaMac, Windows, Linux
ollama run hf.co/ThomasBaruzier/Qwen2.5-14B-Instruct-GGUF:Q4_1 - llama.cppMac, Windows, Linux
llama-server -hf ThomasBaruzier/Qwen2.5-14B-Instruct-GGUF:Q4_1 - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/ThomasBaruzier/Qwen2.5-14B-Instruct-GGUF:Q4_1
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 7.0 GB | |
| 8 GB | IQ3_S | 6.7 GB | 7.7 GB |
| 10 GB | Q4_K_S | 8.6 GB | 9.6 GB |
| 11 GB | Q4_1 | 9.4 GB | 10 GB |
| 12 GB | Q5_K_M | 11 GB | 12 GB |
| 16 GB | Q6_K | 12 GB | 13 GB |
| 20 GB | Q8_0 | 16 GB | 17 GB |
| 24 GB | Q8_0 | 16 GB | 17 GB |
| 32 GB | F16 | 30 GB | 31 GB |
| 48 GB | F16 | 30 GB | 31 GB |
The largest size, of those that keep three bits a weight or more, whose memory at an 8K chat is under 92% of the card's; the rest is the desktop's. Estimated from the files, the same way as for a Mac; speed on a PC is not estimated yet. A size that doesn't fit the card still runs, slower, with part of it in ordinary memory.
On every Mac
| Mac | Size | Fit | Memory | Writes |
|---|---|---|---|---|
| M6 · 16 GB | Q4_1 | Runs well | 10 GB | 6.9 |
| M6 · 24 GB | Q5_K_M | Runs great | 12 GB | 5.7 |
| M6 · 32 GB | Q6_K | Runs great | 14 GB | 5.4 |
| M5 · 16 GB | Q4_1 | Runs well | 10 GB | 6.3 |
| M5 · 24 GB | Q5_K_M | Runs great | 12 GB | 5.2 |
| M5 · 32 GB | Q6_K | Runs great | 14 GB | 4.9 |
| M5 Pro · 24 GB | Q5_K_M | Runs great | 12 GB | 10 |
| M5 Pro · 48 GB | Q8_0 | Runs great | 20 GB | 9.3 |
| M5 Pro · 64 GB | Q8_0 | Runs great | 20 GB | 9.3 |
| M5 Max · 36 GB | Q8_0 | Runs great | 17 GB | 14 |
| M5 Max · 48 GB | Q8_0 | Runs great | 20 GB | 18 |
| M5 Max · 64 GB | Q8_0 | Runs great | 20 GB | 18 |
| M5 Max · 128 GB | Q8_0 | Runs great | 20 GB | 18 |
| M5 Ultra · 96 GB | Q8_0 | Runs great | 20 GB | 35 |
| M5 Ultra · 256 GB | Q8_0 | Runs great | 20 GB | 35 |
| M5 Ultra · 512 GB | Q8_0 | Runs great | 20 GB | 35 |
| M4 · 16 GB | Q4_1 | Runs well | 10 GB | 4.9 |
| M4 · 24 GB | Q5_K_M | Runs great | 12 GB | 4 |
| M4 · 32 GB | Q6_K | Runs great | 14 GB | 3.7 |
| M4 Pro · 24 GB | Q5_K_M | Runs great | 12 GB | 8.7 |
| M4 Pro · 48 GB | Q8_0 | Runs great | 20 GB | 7.7 |
| M4 Pro · 64 GB | Q8_0 | Runs great | 20 GB | 7.7 |
| M4 Max · 36 GB | Q8_0 | Runs great | 17 GB | 11 |
| M4 Max · 48 GB | Q8_0 | Runs great | 20 GB | 14 |
| M4 Max · 64 GB | Q8_0 | Runs great | 20 GB | 14 |
| M4 Max · 96 GB | Q8_0 | Runs great | 20 GB | 11 |
| M4 Max · 128 GB | Q8_0 | Runs great | 20 GB | 14 |
| M3 · 8 GB | IQ1_M | Runs well | 4.9 GB | 5.5 |
| M3 · 16 GB | Q4_1 | Runs well | 10 GB | 4.1 |
| M3 · 24 GB | Q5_K_M | Runs great | 12 GB | 3.4 |
| M3 Pro · 18 GB | Q3_K_M | Runs great | 8.4 GB | 6.1 |
| M3 Pro · 36 GB | Q8_0 | Runs great | 17 GB | 4.4 |
| M3 Max · 36 GB | Q8_0 | Runs great | 17 GB | 8.6 |
| M3 Max · 48 GB | Q8_0 | Runs great | 20 GB | 11 |
| M3 Max · 64 GB | Q8_0 | Runs great | 20 GB | 11 |
| M3 Max · 96 GB | Q8_0 | Runs great | 20 GB | 8.6 |
| M3 Max · 128 GB | Q8_0 | Runs great | 20 GB | 11 |
| M3 Ultra · 96 GB | Q8_0 | Runs great | 20 GB | 20 |
| M3 Ultra · 256 GB | Q8_0 | Runs great | 20 GB | 20 |
| M3 Ultra · 512 GB | Q8_0 | Runs great | 20 GB | 20 |
| M2 · 8 GB | IQ1_M | Runs well | 4.9 GB | 5.5 |
| M2 · 16 GB | Q4_1 | Runs well | 10 GB | 4.1 |
| M2 · 24 GB | Q5_K_M | Runs great | 12 GB | 3.4 |
| M2 Pro · 16 GB | Q4_1 | Runs well | 10 GB | 8 |
| M2 Pro · 32 GB | Q6_K | Runs great | 14 GB | 6.1 |
| M2 Max · 32 GB | Q6_K | Runs great | 14 GB | 11 |
| M2 Max · 64 GB | Q8_0 | Runs great | 20 GB | 11 |
| M2 Max · 96 GB | Q8_0 | Runs great | 20 GB | 11 |
| M2 Ultra · 64 GB | Q8_0 | Runs great | 20 GB | 20 |
| M2 Ultra · 128 GB | Q8_0 | Runs great | 20 GB | 20 |
| M2 Ultra · 192 GB | Q8_0 | Runs great | 20 GB | 20 |
| M1 · 8 GB | IQ1_M | Runs well | 4.9 GB | 3.7 |
| M1 · 16 GB | Q4_1 | Runs well | 10 GB | 2.8 |
| M1 Pro · 16 GB | Q4_1 | Runs well | 10 GB | 7.7 |
| M1 Pro · 32 GB | Q6_K | Runs great | 14 GB | 5.8 |
| M1 Max · 32 GB | Q6_K | Runs great | 14 GB | 11 |
| M1 Max · 64 GB | Q8_0 | Runs great | 20 GB | 10 |
| M1 Ultra · 64 GB | Q8_0 | Runs great | 20 GB | 18 |
| M1 Ultra · 128 GB | Q8_0 | Runs great | 20 GB | 18 |
Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.
Packaged by
8 repositories on Hugging Face carry this model for llama.cpp. Outmake reads them all as one model.
Information
- Maker
- Alibaba Qwen
- Released
- September 2024
- Parameters
- 15B
- Longest chat
- 32K tokens
- Reads pictures
- No
- Licence
- apache-2.0
- Downloads this month
- 257,602
- Likes
- 179
- Sizes
- 31, 3.6 to 30 GB
- Kind
- Maker's release
Badge for the model card
Shows on Qwen2.5 14B's Hugging Face card which Macs run it well, linked to this page. It updates every morning.
Files, downloads and likes read from Hugging Face on November 5, 2026 and refreshed every morning. Memory and speed are estimates until someone running Outmake measures this model on that Mac.
