A 6.7B chat model from EleutherAI.
- Downloads
- 2.8K
- Parameters
- 6.7B
- Context
- 4K
- Licence
- llama2
Runs great on M4 · 16 GB
The Q6_K size from mradermacher is the one to get: a 5.5 GB download that uses 6.9 GB of memory, and writes about 3.1 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.
Llemma 7B 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.
- Llama 2 7BTheBloke · 90K downloadsRuns great · 5.5 GB · 3.1 words/s
- Gemma 3n E4BGoogle · 51K downloads · Arena 1318Runs great · 7.4 GB · 9.7 words/s
- Mistral 7B V0.1Mistral AI · 60K downloadsRuns great · 5.9 GB · 6.7 words/s
- Mistral 7B V0.2Mistral AI · 46K downloads · Arena 1149Runs great · 5.9 GB · 6.7 words/s
Sizes
From mradermacher/llemma_7b-i1-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.
| Size | Download | Memory at 8K | Get |
|---|---|---|---|
| IQ1_S | 1.5 GB | 4.1 GBestimated | Open |
| IQ1_M | 1.7 GB | 4.2 GBestimated | Open |
| IQ2_XXS | 1.9 GB | 4.4 GBestimated | Open |
| IQ2_XS | 2.0 GB | 4.6 GBestimated | Open |
| IQ2_S | 2.2 GB | 4.8 GBestimated | Open |
| Q2_K_S | 2.3 GB | 4.9 GBestimated | Open |
| IQ2_M | 2.4 GB | 5.0 GBestimated | Open |
| Q2_K | 2.5 GB | 5.1 GBestimated | Open |
| IQ3_XXS | 2.6 GB | 5.2 GBestimated | Open |
| IQ3_XS | 2.8 GB | 5.4 GBestimated | Open |
| IQ3_S | 2.9 GB | 5.5 GBestimated | Open |
| Q3_K_S | 2.9 GB | 5.5 GBestimated | Open |
| IQ3_M | 3.1 GB | 5.7 GBestimated | Open |
| Q3_K_M | 3.3 GB | 5.9 GBestimated | Open |
| Q3_K_L | 3.6 GB | 6.2 GBestimated | Open |
| IQ4_XS | 3.6 GB | 6.2 GBestimated | Open |
| IQ4_NL | 3.8 GB | 6.4 GBestimated | Open |
| Q4_0 | 3.8 GB | 6.4 GBestimated | Open |
| Q4_K_S | 3.9 GB | 6.4 GBestimated | Open |
| Q4_K_M | 4.1 GB | 6.7 GBestimated | Open |
| Q4_1 | 4.2 GB | 6.8 GBestimated | Open |
| Q5_K_S | 4.7 GB | 7.2 GBestimated | Open |
| Q5_K_M | 4.8 GB | 7.4 GBestimated | Open |
| Q6_K | 5.5 GB | 8.1 GBestimated | Open |
Run It Anywhere
Llemma 7B is an open model, so any app that runs GGUF files can run it. These take the Q6_K size from mradermacher straight from Hugging Face.
- LM StudioMac, Windows, Linux
Open - JanMac, Windows, Linux
Open - MstyMac, Windows, Linux
Open - OllamaMac, Windows, Linux
ollama run hf.co/mradermacher/llemma_7b-i1-GGUF:Q6_K - llama.cppMac, Windows, Linux
llama-server -hf mradermacher/llemma_7b-i1-GGUF:Q6_K - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/mradermacher/llemma_7b-i1-GGUF:Q6_K
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | Q3_K_M | 3.3 GB | 5.9 GB |
| 8 GB | Q5_K_M | 4.8 GB | 7.4 GB |
| 10 GB | Q6_K | 5.5 GB | 8.1 GB |
| 11 GB | Q6_K | 5.5 GB | 8.1 GB |
| 12 GB | Q6_K | 5.5 GB | 8.1 GB |
| 16 GB | Q6_K | 5.5 GB | 8.1 GB |
| 20 GB | Q6_K | 5.5 GB | 8.1 GB |
| 24 GB | Q6_K | 5.5 GB | 8.1 GB |
| 32 GB | Q6_K | 5.5 GB | 8.1 GB |
| 48 GB | Q6_K | 5.5 GB | 8.1 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 | Q6_K | Runs great | 6.9 GB | 4.5 |
| M6 · 24 GB | Q6_K | Runs great | 6.9 GB | 4.5 |
| M6 · 32 GB | Q6_K | Runs great | 6.9 GB | 4.5 |
| M5 · 16 GB | Q6_K | Runs great | 6.9 GB | 4.1 |
| M5 · 24 GB | Q6_K | Runs great | 6.9 GB | 4.1 |
| M5 · 32 GB | Q6_K | Runs great | 6.9 GB | 4.1 |
| M5 Pro · 24 GB | Q6_K | Runs great | 6.9 GB | 8.1 |
| M5 Pro · 48 GB | Q6_K | Runs great | 6.9 GB | 8.1 |
| M5 Pro · 64 GB | Q6_K | Runs great | 6.9 GB | 8.1 |
| M5 Max · 36 GB | Q6_K | Runs great | 6.9 GB | 12 |
| M5 Max · 48 GB | Q6_K | Runs great | 6.9 GB | 16 |
| M5 Max · 64 GB | Q6_K | Runs great | 6.9 GB | 16 |
| M5 Max · 128 GB | Q6_K | Runs great | 6.9 GB | 16 |
| M5 Ultra · 96 GB | Q6_K | Runs great | 6.9 GB | 31 |
| M5 Ultra · 256 GB | Q6_K | Runs great | 6.9 GB | 31 |
| M5 Ultra · 512 GB | Q6_K | Runs great | 6.9 GB | 31 |
| M4 · 16 GB | Q6_K | Runs great | 6.9 GB | 3.1 |
| M4 · 24 GB | Q6_K | Runs great | 6.9 GB | 3.1 |
| M4 · 32 GB | Q6_K | Runs great | 6.9 GB | 3.1 |
| M4 Pro · 24 GB | Q6_K | Runs great | 6.9 GB | 6.9 |
| M4 Pro · 48 GB | Q6_K | Runs great | 6.9 GB | 6.9 |
| M4 Pro · 64 GB | Q6_K | Runs great | 6.9 GB | 6.9 |
| M4 Max · 36 GB | Q6_K | Runs great | 6.9 GB | 10 |
| M4 Max · 48 GB | Q6_K | Runs great | 6.9 GB | 13 |
| M4 Max · 64 GB | Q6_K | Runs great | 6.9 GB | 13 |
| M4 Max · 96 GB | Q6_K | Runs great | 6.9 GB | 10 |
| M4 Max · 128 GB | Q6_K | Runs great | 6.9 GB | 13 |
| M3 · 8 GB | Q4_K_S | Runs well | 5.2 GB | 2.8 |
| M3 · 16 GB | Q6_K | Runs great | 6.9 GB | 2.6 |
| M3 · 24 GB | Q6_K | Runs great | 6.9 GB | 2.6 |
| M3 Pro · 18 GB | Q6_K | Runs great | 6.9 GB | 3.9 |
| M3 Pro · 36 GB | Q6_K | Runs great | 6.9 GB | 3.9 |
| M3 Max · 36 GB | Q6_K | Runs great | 6.9 GB | 7.6 |
| M3 Max · 48 GB | Q6_K | Runs great | 6.9 GB | 10 |
| M3 Max · 64 GB | Q6_K | Runs great | 6.9 GB | 10 |
| M3 Max · 96 GB | Q6_K | Runs great | 6.9 GB | 7.6 |
| M3 Max · 128 GB | Q6_K | Runs great | 6.9 GB | 10 |
| M3 Ultra · 96 GB | Q6_K | Runs great | 6.9 GB | 19 |
| M3 Ultra · 256 GB | Q6_K | Runs great | 6.9 GB | 19 |
| M3 Ultra · 512 GB | Q6_K | Runs great | 6.9 GB | 19 |
| M2 · 8 GB | Q4_K_S | Runs well | 5.2 GB | 2.8 |
| M2 · 16 GB | Q6_K | Runs great | 6.9 GB | 2.6 |
| M2 · 24 GB | Q6_K | Runs great | 6.9 GB | 2.6 |
| M2 Pro · 16 GB | Q6_K | Runs great | 6.9 GB | 5.2 |
| M2 Pro · 32 GB | Q6_K | Runs great | 6.9 GB | 5.2 |
| M2 Max · 32 GB | Q6_K | Runs great | 6.9 GB | 10 |
| M2 Max · 64 GB | Q6_K | Runs great | 6.9 GB | 10 |
| M2 Max · 96 GB | Q6_K | Runs great | 6.9 GB | 10 |
| M2 Ultra · 64 GB | Q6_K | Runs great | 6.9 GB | 19 |
| M2 Ultra · 128 GB | Q6_K | Runs great | 6.9 GB | 19 |
| M2 Ultra · 192 GB | Q6_K | Runs great | 6.9 GB | 19 |
| M1 · 8 GB | Q4_K_S | Runs well | 5.2 GB | 1.9 |
| M1 · 16 GB | Q6_K | Runs great | 6.9 GB | 1.8 |
| M1 Pro · 16 GB | Q6_K | Runs great | 6.9 GB | 5 |
| M1 Pro · 32 GB | Q6_K | Runs great | 6.9 GB | 5 |
| M1 Max · 32 GB | Q6_K | Runs great | 6.9 GB | 9.6 |
| M1 Max · 64 GB | Q6_K | Runs great | 6.9 GB | 9.6 |
| M1 Ultra · 64 GB | Q6_K | Runs great | 6.9 GB | 17 |
| M1 Ultra · 128 GB | Q6_K | Runs great | 6.9 GB | 17 |
Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.
Information
- Maker
- EleutherAI
- Released
- February 2025
- Parameters
- 6.7B
- Longest chat
- 4K tokens
- Reads pictures
- No
- Licence
- llama2
- Downloads this month
- 2,796
- Sizes
- 24, 1.5 to 5.5 GB
- Kind
- Maker's release
- Source
- EleutherAI/llemma_7b
Badge for the model card
Shows on Llemma 7B'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.