A 14B chat model from Microsoft.
- Downloads
- 12K
- Likes
- 66
- Parameters
- 14B
- Context
- 128K
- Licence
- mit
Runs well on M4 · 16 GB
The Q4_K_L size from bartowski is the one to get: a 8.7 GB download that uses 9.8 GB of memory, and writes about 4.5 words a second.
Ratings
MMLU-Pro: graduate-level questions in 14 subjects. Scores are the ones filed on the model's Hugging Face page or the board's own table, read 2026-11-05; some come from the maker.
Phi 3 Medium 128K 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.
- Phi 3 Medium 4KMicrosoft · 8.3K downloads · Arena 1198Runs great · 6.9 GB · 5 words/s
- Qwen 14BAlibaba Qwen · 1.1K downloads · Arena 1139Runs well · 5.8 GB · 2.2 words/s
- Ministral 3 14B 2512Mistral AI · 74K downloadsRuns great · 6.7 GB · 5.7 words/s
- Phi 4Microsoft · 72K downloads · Arena 1256Runs well · 9.3 GB · 4.9 words/s
Sizes
From mmnga/Phi-3-medium-128k-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 | 3.0 GB | 4.0 GBestimated | Open |
| IQ1_M | 3.2 GB | 4.3 GBestimated | Open |
| IQ2_XXS | 3.7 GB | 4.8 GBestimated | Open |
| IQ2_XS | 4.1 GB | 5.2 GBestimated | Open |
| IQ2_S | 4.3 GB | 5.4 GBestimated | Open |
| IQ2_M | 4.7 GB | 5.8 GBestimated | Open |
| Q2_K | 5.1 GB | 6.2 GBestimated | Open |
| IQ3_XXS | 5.5 GB | 6.5 GBestimated | Open |
| IQ3_XS | 5.8 GB | 6.9 GBestimated | Open |
| Q3_K_S | 6.1 GB | 7.1 GBestimated | Open |
| IQ3_S | 6.1 GB | 7.1 GBestimated | Open |
| IQ3_M | 6.5 GB | 7.6 GBestimated | Open |
| Q3_K_M | 6.9 GB | 8.0 GBestimated | Open |
| IQ4_XS | 7.5 GB | 8.5 GBestimated | Open |
| Q3_K_L | 7.5 GB | 8.6 GBestimated | Open |
| Q4_0 | 7.9 GB | 9.0 GBestimated | Open |
| IQ4_NL | 7.9 GB | 9.0 GBestimated | Open |
| Q4_K_S | 8.0 GB | 9.0 GBestimated | Open |
| Q4_K_M | 8.6 GB | 9.6 GBestimated | Open |
Run It Anywhere
Phi 3 Medium 128K is an open model, so any app that runs GGUF files can run it. These take the Q4_K_L size from bartowski straight from Hugging Face.
- LM StudioMac, Windows, Linux
Open - JanMac, Windows, Linux
Open - MstyMac, Windows, Linux
Open - OllamaMac, Windows, Linux
ollama run hf.co/bartowski/Phi-3-medium-128k-instruct-GGUF:Q4_K_L - llama.cppMac, Windows, Linux
llama-server -hf bartowski/Phi-3-medium-128k-instruct-GGUF:Q4_K_L - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/bartowski/Phi-3-medium-128k-instruct-GGUF:Q4_K_L
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 6.5 GB | |
| 8 GB | IQ3_M | 6.5 GB | 7.6 GB |
| 10 GB | Q4_K_M | 8.6 GB | 9.6 GB |
| 11 GB | Q4_K_M | 8.6 GB | 9.6 GB |
| 12 GB | Q4_K_M | 8.6 GB | 9.6 GB |
| 16 GB | Q4_K_M | 8.6 GB | 9.6 GB |
| 20 GB | Q4_K_M | 8.6 GB | 9.6 GB |
| 24 GB | Q4_K_M | 8.6 GB | 9.6 GB |
| 32 GB | Q4_K_M | 8.6 GB | 9.6 GB |
| 48 GB | Q4_K_M | 8.6 GB | 9.6 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_K_L | Runs well | 9.8 GB | 6.3 |
| M6 · 24 GB | Q4_K_L | Runs great | 11 GB | 6.3 |
| M6 · 32 GB | Q4_K_L | Runs great | 13 GB | 6.3 |
| M5 · 16 GB | Q4_K_L | Runs well | 9.8 GB | 5.7 |
| M5 · 24 GB | Q4_K_L | Runs great | 11 GB | 5.7 |
| M5 · 32 GB | Q4_K_L | Runs great | 13 GB | 5.7 |
| M5 Pro · 24 GB | Q4_K_L | Runs great | 11 GB | 11 |
| M5 Pro · 48 GB | Q4_K_L | Runs great | 17 GB | 11 |
| M5 Pro · 64 GB | Q4_K_L | Runs great | 24 GB | 11 |
| M5 Max · 36 GB | Q4_K_L | Runs great | 17 GB | 17 |
| M5 Max · 48 GB | Q4_K_L | Runs great | 17 GB | 22 |
| M5 Max · 64 GB | Q4_K_L | Runs great | 24 GB | 22 |
| M5 Max · 128 GB | Q4_K_L | Runs great | 24 GB | 22 |
| M5 Ultra · 96 GB | Q4_K_L | Runs great | 24 GB | 42 |
| M5 Ultra · 256 GB | Q4_K_L | Runs great | 24 GB | 42 |
| M5 Ultra · 512 GB | Q4_K_L | Runs great | 24 GB | 42 |
| M4 · 16 GB | Q4_K_L | Runs well | 9.8 GB | 4.5 |
| M4 · 24 GB | Q4_K_L | Runs great | 11 GB | 4.5 |
| M4 · 32 GB | Q4_K_L | Runs great | 13 GB | 4.5 |
| M4 Pro · 24 GB | Q4_K_L | Runs great | 11 GB | 9.7 |
| M4 Pro · 48 GB | Q4_K_L | Runs great | 17 GB | 9.7 |
| M4 Pro · 64 GB | Q4_K_L | Runs great | 24 GB | 9.7 |
| M4 Max · 36 GB | Q4_K_L | Runs great | 17 GB | 14 |
| M4 Max · 48 GB | Q4_K_L | Runs great | 17 GB | 18 |
| M4 Max · 64 GB | Q4_K_L | Runs great | 24 GB | 18 |
| M4 Max · 96 GB | Q4_K_L | Runs great | 24 GB | 14 |
| M4 Max · 128 GB | Q4_K_L | Runs great | 24 GB | 18 |
| M3 · 8 GB | IQ2_XS | Runs well | 5.2 GB | 5.3 |
| M3 · 16 GB | Q4_K_L | Runs well | 9.8 GB | 3.8 |
| M3 · 24 GB | Q4_K_L | Runs great | 11 GB | 3.8 |
| M3 Pro · 18 GB | Q3_K_L | Runs great | 8.6 GB | 6 |
| M3 Pro · 36 GB | Q4_K_L | Runs great | 17 GB | 5.6 |
| M3 Max · 36 GB | Q4_K_L | Runs great | 17 GB | 11 |
| M3 Max · 48 GB | Q4_K_L | Runs great | 17 GB | 14 |
| M3 Max · 64 GB | Q4_K_L | Runs great | 24 GB | 14 |
| M3 Max · 96 GB | Q4_K_L | Runs great | 24 GB | 11 |
| M3 Max · 128 GB | Q4_K_L | Runs great | 24 GB | 14 |
| M3 Ultra · 96 GB | Q4_K_L | Runs great | 24 GB | 25 |
| M3 Ultra · 256 GB | Q4_K_L | Runs great | 24 GB | 25 |
| M3 Ultra · 512 GB | Q4_K_L | Runs great | 24 GB | 25 |
| M2 · 8 GB | IQ2_XS | Runs well | 5.2 GB | 5.3 |
| M2 · 16 GB | Q4_K_L | Runs well | 9.8 GB | 3.8 |
| M2 · 24 GB | Q4_K_L | Runs great | 11 GB | 3.8 |
| M2 Pro · 16 GB | Q4_K_L | Runs well | 9.8 GB | 7.3 |
| M2 Pro · 32 GB | Q4_K_L | Runs great | 13 GB | 7.3 |
| M2 Max · 32 GB | Q4_K_L | Runs great | 13 GB | 14 |
| M2 Max · 64 GB | Q4_K_L | Runs great | 24 GB | 14 |
| M2 Max · 96 GB | Q4_K_L | Runs great | 24 GB | 14 |
| M2 Ultra · 64 GB | Q4_K_L | Runs great | 24 GB | 25 |
| M2 Ultra · 128 GB | Q4_K_L | Runs great | 24 GB | 25 |
| M2 Ultra · 192 GB | Q4_K_L | Runs great | 24 GB | 25 |
| M1 · 8 GB | IQ2_XS | Runs well | 5.2 GB | 3.6 |
| M1 · 16 GB | Q4_K_L | Runs well | 9.8 GB | 2.6 |
| M1 Pro · 16 GB | Q4_K_L | Runs well | 9.8 GB | 7 |
| M1 Pro · 32 GB | Q4_K_L | Runs great | 13 GB | 7 |
| M1 Max · 32 GB | Q4_K_L | Runs great | 13 GB | 13 |
| M1 Max · 64 GB | Q4_K_L | Runs great | 24 GB | 13 |
| M1 Ultra · 64 GB | Q4_K_L | Runs great | 24 GB | 22 |
| M1 Ultra · 128 GB | Q4_K_L | Runs great | 24 GB | 22 |
Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.
Packaged by
3 repositories on Hugging Face carry this model for llama.cpp. Outmake reads them all as one model.
Information
- Maker
- Microsoft
- Released
- May 2024
- Parameters
- 14B
- Longest chat
- 128K tokens
- Reads pictures
- No
- Licence
- mit
- Downloads this month
- 12,079
- Likes
- 66
- Sizes
- 19, 3.0 to 8.6 GB
- Kind
- Maker's release
Badge for the model card
Shows on Phi 3 Medium 128K'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.
