Your rig

M2 · 24 GB · 24 GB

24 GB unified · 100 GB/s · 18.0 GB addressable by the GPU
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Context length

KV cache at f16, 8K tokens

Quality floor
Q8_0 — near-lossless Q6_K Q5_K_M Q4_K_M — recommended Q3_K_M Q2_K — damaged
KV cache type
Runtime
Ollamallama.cppLM StudioMLX

4 of 5 runtimes drive this device.

Allow CPU offload Include partial-offload fits

Offloaded layers run at 60 GB/s host bandwidth — expect single-digit tokens per second.

Which one should I actually run?

Best models for your M2 · 24 GB

Updated 21 Aug 2026 5 new this week, 14 this month

What do you want to do? Each row is the best-ranked model on that use case's shortlist that fits at Q6_K and 8K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Gemma 4 12B
Google · Apache 2.0
The 12 GB generalist: text, image and audio in, 140+ languages. Q6_K · 10.6 GB 6.1 Runs great
Best for coding Qwen3.5 9B
Alibaba · Apache 2.0
The best coding model for 8–12 GB cards. Q6_K · 8.2 GB 7.6 Runs great
Best reasoning gpt-oss 20B
OpenAI · Apache 2.0
Low/medium/high reasoning effort in 13 GB. MXFP4 · 11.6 GB 14 Runs great
Best for writing Gemma 4 12B
Google · Apache 2.0
The 12 GB writing pick; 140+ languages. Q6_K · 10.6 GB 6.1 Runs great
Best vision Gemma 4 12B
Google · Apache 2.0
Image and audio understanding on 12 GB. Q6_K · 10.6 GB 6.1 Runs great
Best for agents gpt-oss 20B
OpenAI · Apache 2.0
Harmony-format tool calling, native 4-bit. MXFP4 · 11.6 GB 14 Runs great
Best translation Gemma 4 12B
Google · Apache 2.0
Broad language coverage on a 12 GB card. Q6_K · 10.6 GB 6.1 Runs great
Fastest good model gpt-oss 20B
OpenAI · Apache 2.0
3.6B active, native 4-bit. MXFP4 · 11.6 GB 14 Runs great
Best long context Qwen3.5 9B
Alibaba · Apache 2.0
262K native in 8–12 GB. Q6_K · 12.0 GB
at 128K context
7.6 Runs great

Everything that fits

Runs great

38 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 8KTotal VRAM headroom Tok/sRuntime
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.19 GB 11.6 GB
6.4 GB free
14 MLX Run
Qwen3 14B 14.8B Q6_K 11.3 GB 1.25 GB 13.2 GB
4.8 GB free
4.9 MLX Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q6_K 11.3 GB 1.50 GB 13.4 GB
4.6 GB free
4.9 MLX Run
Qwen2.5-Coder 14B 14.8B Q6_K 11.3 GB 1.50 GB 13.4 GB
4.6 GB free
4.9 MLX Run
Phi-4 14B 14.7B Q6_K 11.2 GB 1.56 GB 13.4 GB
4.6 GB free
5.0 MLX Run
Ministral 3 14B 13.9B Q6_K 10.6 GB 1.25 GB 12.5 GB
5.5 GB free
5.3 MLX Run
Gemma 3 12B 12.2B Q6_K 9.3 GB 0.81 GB 10.7 GB
7.3 GB free
6.0 MLX Run
Mistral NeMo 12B 12.2B Q6_K 9.3 GB 1.25 GB 11.2 GB
6.8 GB free
6.0 MLX Run
Gemma 4 12B 12B Q6_K 9.2 GB 0.81 GB 10.6 GB
7.4 GB free
6.1 MLX Run
Qwen3.5 9B 9.65B Q6_K 7.4 GB 0.25 GB 8.2 GB
9.8 GB free
7.6 MLX Run
Ornith 1.5 9B New this week 9.41B Q6_K 7.2 GB 0.25 GB 8.0 GB
10.0 GB free
7.8 MLX Run
Ministral 3 8B 8.92B Q6_K 6.8 GB 1.06 GB 8.5 GB
9.5 GB free
8.2 MLX Run
Granite 4.1 8B 8.79B Q6_K 6.7 GB 1.25 GB 8.6 GB
9.4 GB free
8.3 MLX Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q6_K 6.5 GB 0.09 GB 7.2 GB
10.8 GB free
23 MLX Run
Fara 7B 8.29B Q6_K 6.3 GB 0.44 GB 7.4 GB
10.6 GB free
8.8 MLX Run
Qwen3 8B 8.19B Q6_K 6.3 GB 1.13 GB 8.0 GB
10.0 GB free
8.9 MLX Run
Llama 3.1 8B Instruct 8.03B Q6_K 6.1 GB 1.00 GB 7.7 GB
10.3 GB free
9.1 MLX Run
Gemma 4 E4B 8.0B Q6_K 6.1 GB 0.14 GB 6.9 GB
11.1 GB free
9.1 MLX Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q6_K 6.0 GB 0.05 GB 6.7 GB
11.3 GB free
26 MLX Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q6_K 5.8 GB 0.44 GB 6.9 GB
11.1 GB free
9.6 MLX Run
Qwen2.5-Coder 7B 7.62B Q6_K 5.8 GB 0.44 GB 6.9 GB
11.1 GB free
9.6 MLX Run
Olmo 3 7B Instruct 7.3B Q6_K 5.6 GB 2.50 GB 8.7 GB
9.3 GB free
10 MLX Run
Mistral 7B Instruct v0.3 7.25B Q6_K 5.5 GB 1.00 GB 7.1 GB
10.9 GB free
10 MLX Run
Gemma 4 E2B 5.1B Q6_K 3.9 GB 0.07 GB 4.6 GB
13.4 GB free
14 MLX Run
Qwen3.5 4B 4.66B Q6_K 3.6 GB 0.25 GB 4.4 GB
13.6 GB free
16 MLX Run
Gemma 3 4B 4.3B Q6_K 3.3 GB 0.30 GB 4.2 GB
13.8 GB free
17 MLX Run
Qwen3 4B 4.02B Q6_K 3.1 GB 1.13 GB 4.8 GB
13.2 GB free
18 MLX Run
Ministral 3 3B 3.85B Q6_K 2.9 GB 0.81 GB 4.4 GB
13.6 GB free
19 MLX Run
Phi-4-mini 3.8B 3.84B Q6_K 2.9 GB 1.00 GB 4.5 GB
13.5 GB free
19 MLX Run
Granite 4.1 3B 3.4B Q6_K 2.6 GB 0.63 GB 3.8 GB
14.2 GB free
22 MLX Run
Llama 3.2 3B Instruct 3.21B Q6_K 2.5 GB 0.88 GB 3.9 GB
14.1 GB free
23 MLX Run
LFM2.5 2.6B New 2.7B Q6_K 2.1 GB 0.13 GB 2.8 GB
15.2 GB free
27 MLX Run
Qwen3.5 2B 2.27B Q6_K 1.7 GB 0.09 GB 2.4 GB
15.6 GB free
32 MLX Run
Qwen3 1.7B 1.72B Q6_K 1.3 GB 0.88 GB 2.8 GB
15.2 GB free
43 MLX Run
Llama 3.2 1B Instruct 1.24B Q6_K 0.9 GB 0.25 GB 1.8 GB
16.2 GB free
59 MLX Run
Gemma 3 1B 1.0B Q6_K 0.8 GB 0.04 GB 1.4 GB
16.6 GB free
73 MLX Run
Qwen3.5 0.8B 0.87B Q6_K 0.7 GB 0.09 GB 1.4 GB
16.6 GB free
84 MLX Run
Qwen3 0.6B 0.6B Q6_K 0.5 GB 0.88 GB 1.9 GB
16.1 GB free
122 MLX Run

Won't fit in VRAM

38 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 8KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q6_K 2123.0 GB 0.21 GB 2123.9 GB +2105.9 GB ~0.3 MLX Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q6_K 1868.0 GB 0.72 GB 1869.3 GB +1851.3 GB ~0.4 MLX Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q6_K 1260.1 GB 0.54 GB 1261.2 GB +1243.2 GB ~0.7 MLX Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q6_K 784.3 GB 0.54 GB 785.4 GB +767.4 GB ~1.1 MLX Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q6_K 575.1 GB 0.69 GB 576.3 GB +558.3 GB ~0.9 MLX Why
DeepSeek-R1 671B 671B MoE / 37B act Q6_K 512.4 GB 0.54 GB 513.6 GB +495.6 GB ~0.9 MLX Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q6_K 307.8 GB 0.23 GB 308.6 GB +290.6 GB ~2.0 MLX Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q6_K 303.2 GB 0.23 GB 304.0 GB +286.0 GB ~2.0 MLX Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q6_K 216.9 GB 0.38 GB 217.9 GB +199.9 GB ~2.6 MLX Why
Qwen3 235B-A22B 235B MoE / 22B act Q6_K 179.5 GB 1.47 GB 181.5 GB +163.5 GB ~1.6 MLX Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q6_K 95.5 GB 0.19 GB 96.2 GB +78.2 GB ~3.4 MLX Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q6_K 94.7 GB 0.06 GB 95.4 GB +77.4 GB ~2.8 MLX Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q6_K 94.7 GB 0.06 GB 95.4 GB +77.4 GB ~6.7 MLX Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q6_K 90.9 GB 0.18 GB 91.7 GB +73.7 GB ~5.3 MLX Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.29 GB 61.4 GB +43.4 GB ~9.9 MLX Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q6_K 83.2 GB 1.50 GB 85.3 GB +67.3 GB ~2.0 MLX Why
Llama 3.3 70B Instruct 70.6B Q6_K 53.9 GB 2.50 GB 57.0 GB +39.0 GB ~1.0 MLX Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q6_K 53.9 GB 2.50 GB 57.0 GB +39.0 GB ~1.0 MLX Why
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q6_K 27.4 GB 0.16 GB 28.2 GB +10.2 GB ~10 MLX Why
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q6_K 27.4 GB 0.16 GB 28.2 GB +10.2 GB ~10 MLX Why
LLM-jp 4 33B Thinking New this week 33.2B Q6_K 25.4 GB 2.00 GB 28.0 GB +10.0 GB ~2.2 MLX Why
Qwen3 32B 32.8B Q6_K 25.0 GB 2.00 GB 27.6 GB +9.6 GB ~2.2 MLX Why
DeepSeek-R1-Distill-Qwen 32B 32.8B Q6_K 25.0 GB 2.00 GB 27.6 GB +9.6 GB ~2.2 MLX Why
Qwen2.5-Coder 32B 32.8B Q6_K 25.0 GB 2.00 GB 27.6 GB +9.6 GB ~2.2 MLX Why
Olmo 3.1 32B Instruct 32.2B Q6_K 24.6 GB 1.25 GB 26.4 GB +8.4 GB ~2.3 MLX Why
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q6_K 24.1 GB 0.05 GB 24.8 GB +6.8 GB ~11 MLX Why
Gemma 4 31B 31.3B Q6_K 23.9 GB 2.03 GB 26.5 GB +8.5 GB ~2.3 MLX Why
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q6_K 23.8 GB 0.41 GB 24.8 GB +6.8 GB ~11 MLX Why
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q6_K 23.3 GB 0.75 GB 24.6 GB +6.6 GB ~10 MLX Why
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q6_K 23.3 GB 0.75 GB 24.6 GB +6.6 GB ~10 MLX Why
Muse Glimmer 30B New 29.8B Q6_K 22.8 GB 0.18 GB 23.5 GB +5.5 GB ~2.5 MLX Why
Granite 4.1 30B 28.9B Q6_K 22.1 GB 2.00 GB 24.7 GB +6.7 GB ~2.5 MLX Why
Qwen3.8 27B New this week 27.8B Q6_K 21.2 GB 0.50 GB 22.3 GB +4.3 GB ~2.6 MLX Why
Qwen3.6 27B 27.8B Q6_K 21.2 GB 0.50 GB 22.3 GB +4.3 GB ~2.6 MLX Why
Gemma 3 27B 27.4B Q6_K 20.9 GB 1.03 GB 22.6 GB +4.6 GB ~2.7 MLX Why
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q6_K 20.2 GB 0.51 GB 21.3 GB +3.3 GB ~9.0 MLX Why
Devstral Small 2 24B 24B Q6_K 18.3 GB 1.25 GB 20.2 GB +2.2 GB ~3.0 MLX Why
Mistral Small 3.2 24B 23.6B Q6_K 18.0 GB 1.25 GB 19.9 GB +1.9 GB ~3.1 MLX Why

Totals = quantised weights + f16 KV cache at 8K tokens + 0.6 GB runtime overhead, against 18.0 GB usable unified memory. Tokens per second are estimated from 100 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.