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3940 chat models and 46,081 sizes from Hugging Face, each judged for the Mac you pick: whether it fits, the memory it takes, how fast it writes and how it scores. Chart any two numbers, compare up to four, or paste a link to any GGUF model.

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Arena rating against words a second

The chart needs JavaScript. The table below is for M4, 16 GB.

Best trade-offs: nothing beats these on both axes · Better than the typical model on both · Under 4 bits a weight: its score overstates it

Models

60 models This Mac's page
ModelSizeFitMemoryWritesReadsLongest chatArenaArena coding
Gemma 3 12BGoogle · 12BQ4_K_S4.71 bits · unslothRuns great7.5 GB7.2838K13421316
Gemma 3n E4BGoogle · 6.9BQ8_08.56 bits · unslothRuns great7.6 GB9.714216K13181307
Granite 4.1 8BIBM · 8.8BQ5_16.03 bits · ibm-graniteRuns great7.5 GB6.41118K13041353
Gemma 3 4BGoogle · 3.9BQ6_K_L6.91 bits · bartowskiRuns great5.1 GB16251128K13031273
Granite 4.2 8BIBM · 8.8BQ5_16.03 bits · ibm-graniteRuns great7.5 GB6.41118K12901370
Granite 4.2 3BIBM · 3.7BQ8_08.51 bits · ibm-graniteRuns great7.1 GB1126664K12901378
Gemma 2 9BGoogle · 9.2BQ4_K_L5.18 bits · bartowskiRuns great7.7 GB41068K12671270
Phi 4Microsoft · 15BQ4_15.06 bits · microsoftRuns well10 GB4.9678K12561306
Aya Expanse 8BCohere · 8BQ6_K_L6.83 bits · bartowskiRuns great7.6 GB6.21218K12231255
Llama 3.1 Tulu 3 8BAi2 · 8BQ6_K6.57 bits · lmstudio-communityRuns great7.3 GB6.31218K1221
Llama 3.1 8BMeta · 8BQ6_K6.57 bits · unslothRuns great7.3 GB6.31218K12111259
Granite 3.1 8BIBM · 8.2BQ6_K_L6.61 bits · bartowskiRuns great7.6 GB5.61198K1209
Gemma 2 2BGoogle · 2.6BQ8_08.53 bits · bartowskiRuns great3.3 GB163748K12001191
Phi 3 Medium 4KMicrosoft · 14BQ3_K_M3.97 bits · bartowskiRuns great7.5 GB5704K11981231
Granite 3.1 2BIBM · 2.5BQ8_08.52 bits · bartowskiRuns great5.9 GB1438564K11791249
Llama 3.2 3BMeta · 3.2BQ8_08.53 bits · unslothRuns great5.7 GB1130432K11671176
SOLAR 10.7B V1.0Upstage · 11BQ4_K_M4.82 bits · TheBlokeRuns great7 GB5.3914K1152
Mistral 7B V0.2Mistral AI · 7.2BQ6_K6.57 bits · TheBlokeRuns great7.3 GB6.713516K11491186
Phi 3 Mini 128KMicrosoft · 3.8BQ8_08.51 bits · QuantFactoryRuns great6 GB4.72558K11301155
Phi 3 Mini 4KMicrosoft · 3.8BQ8_08.51 bits · bartowskiRuns great5.1 GB4.72554K11281187
SmolLM2 1.7BHugging Face · 1.7BQ8_08.52 bits · bartowskiRuns great2.9 GB9.55708K1115
Llama 3.2 1BMeta · 1.2BQ8_08.52 bits · unslothRuns great3.9 GB31786128K11111149
Chatglm3 6BZ.ai · 6.2BQ8_08.51 bits · mradermacherRuns great6.9 GB101568K10571090
Ornith 1.5 9Bornith-ai · 9.2BQ5_K_M6.04 bits · MungertRuns great7.7 GB8.310632K
Gemma 4 12BGoogle · 12BQ4_K_M4.78 bits · unslothRuns great7.6 GB8.38216K
Ornith 1.0 9Bornith-ai · 8.9BQ6_K6.58 bits · ornith-aiRuns great7.6 GB7.91098K
Gemma 4 E4BGoogle · 7.5BQ6_K_L7.63 bits · bartowskiRuns great7.6 GB813016K
Qwen3.5 9BAlibaba Qwen · 9.2BQ5_K_M6.18 bits · ggufRuns great7.6 GB810616K
Qwen3.5 9B The Defiant Fable Uncensored Heretic NEO IMATRIX MAX MTPDavidAU · 9.2BQ4_K_M5.94 bits · DavidAURuns great7.6 GB8.410632K
Qwen3.5 4BAlibaba Qwen · 4.3BQ8_08.52 bits · ggufRuns great7.3 GB13225128K
Qwen3 VL 8BAlibaba Qwen · 8.2BQ6_K6.57 bits · unslothRuns great7.5 GB5.91198K
Ornith 1.5 9B Uncensoredjunafinity · 8.9BQ6_K6.58 bits · dealignaiRuns great7.6 GB7.91098K
Qwen3 4BAlibaba Qwen · 4BQ8_08.52 bits · QwenRuns great7.2 GB8.424332K
Gemma 4 E2BGoogle · 4.7BQ8_08.69 bits · unslothRuns great6.4 GB13210128K
HyperCLOVAX SEED Text 1.5Bnaver-hyperclovax · 1.8BQ4_K_M5.01 bits · rippertntRuns great5 GB1553964K
Qwen3 VL 4BAlibaba Qwen · 4BQ8_08.52 bits · QwenRuns great7.2 GB8.424332K
Hy MT2 7BTencent · 7.5BQ6_K6.58 bits · tencentRuns great7.5 GB6.513016K
Qwen3 8BAlibaba Qwen · 8.2BQ6_K6.57 bits · QwenRuns great7.5 GB5.91198K
Qwen2.5 7BAlibaba Qwen · 7.6BQ6_K_L6.84 bits · bartowskiRuns great7.7 GB8.112832K
MiMo V2.6 Distill Qwen 9BXiaomi · 8.9BQ5_K_M6.15 bits · bartowskiRuns great7.6 GB8.310932K
Cyber Ornith 1.5 9B OBLITERATEDDuoNeural · 8.9BQ6_K6.58 bits · DuoNeuralRuns great7.6 GB7.91098K
Qwen3 4B 2507Alibaba Qwen · 4BQ8_08.52 bits · a-ivanovitchRuns great7.2 GB8.424332K
Sharp Spark X2.5 4Bpeculiar-ragdoll · 4.1BQ6_K_XL7.03 bits · peculiar-ragdollRuns great6.5 GB13237128K
Gemma 4 E4B Uncensored HauhauCS Aggressive (HauhauCS)HauhauCS · 7.5BQ6_K_P6.65 bits · HauhauCSRuns great7.6 GB913064K
AdaVaR 3BZejunLi · 3.1BQ8_08.51 bits · mradermacherRuns great4.8 GB1631664K
Gemma4 12B QAT Uncensored HauhauCS BalancedHauhauCS · 12BQ4_K_M4.96 bits · HauhauCSRuns well10 GB8.182256K
Qwen3 1.7BAlibaba Qwen · 2BUD-Q8_K_XL9.19 bits · unslothRuns great4.6 GB1148032K
Spark X2.5 4BXHToken · 4.1BQ8_08.52 bits · XHTokenRuns great7.3 GB13237128K
Qwen3 VL 8B Abliteratedmradermacher · 8.2BQ6_K6.57 bits · mradermacherRuns great7.5 GB5.91198K
Qwen3.5 9B Uncensored HauhauCS Aggressive (HauhauCS)HauhauCS · 8.9BQ6_K6.58 bits · HauhauCSRuns great7.6 GB7.91098K
Qwen3 0.6BAlibaba Qwen · 0.8BUD-Q8_K_XL9.01 bits · unslothRuns great3.1 GB14130032K
Qwen3.5 9B Kimi K3 Distilledkhazarai · 9.2BQ5_K_M5.78 bits · mradermacherRuns great7.4 GB8.610632K
Gemma 3 1BGoogle · 1BQ5_K_S6.69 bits · unslothRuns great1 GB5197532K
Qwen3 14BAlibaba Qwen · 15BQ4_K_M4.88 bits · QwenRuns well9.9 GB4.8668K
B1 9Bschneewolflabs · 9.2BQ5_K_M5.78 bits · mradermacherRuns great7.4 GB8.610632K
Qwen3.8 4B Distillempero-ai · 4.3BQ8_08.52 bits · empero-aiRuns great7.3 GB13225128K
Qwen3.5 2BAlibaba Qwen · 1.9BQ8_08.56 bits · ggufRuns great3.9 GB29503256K
Qwen2.5 1.5B InstructAlibaba Qwen · 1.8BQ8_08.51 bits · QwenRuns great2.5 GB2554832K
Jinen V1 Small.togatogah · 0.1BF1632.24 bits · togatogahRuns great0.6 GB4519501K
Qwen3.8 9B Distillempero-ai · 9.2BQ5_K_M5.78 bits · empero-aiRuns great7.4 GB8.610632K

How the numbers are made

The models. The chat models people download as GGUF on Hugging Face this month (the most downloaded, trending and most liked), refreshed every morning. A compressed copy of a model, such as ISTA-DASLab's GSQ-RCO builds of Qwen3.8, is listed as one of that model's sizes. A fine-tune or a retrained model, such as PrismML's Bonsai, is a model of its own and never borrows another model's score. Updated November 5, 2026; the full list as JSON.

Fit and memory. The size's file, a key-value cache at 8 bits per value for the chat length shown, and a fixed allowance fitted to the memory the app measures on its own models. The verdicts are the app's: runs great leaves room for everything else, runs well leaves enough, a tight fit closes other apps. Every row picks the most bits that runs great, else runs well, from sizes of 4 bits a weight or more first; past about 8 bits a copy only writes slower, so the smaller file wins. Longest chat is the longest conversation that keeps the verdict the model has at 8,000 tokens.

Speed. Predicted, a few exchanges into a chat (4,096 tokens), from the same model the app uses, fitted to measured llama.cpp tables on every Apple silicon chip (constants of October 11, 2026). Rows marked rough are outside those tables: a mixture of experts, a publisher's own size format, or a chip newer than M5. It leans low: two independent reports checked on 11 October 2026 ran 14% and 18% faster than this estimate at an empty chat (Gemma 3 12B on an M1 Max, Gemma 4 26B A4B on an M4). How speed is measured.

Ratings. LM Arena's ratings with style control, overall and for coding, from its leaderboard dataset (October 28, 2026, CC BY 4.0). 104 of the 3,940 models have one; a rating goes only to the maker's own model, never to a fine-tune or a copy under another maker's name. A rating describes the full model, so a size under 4 bits a weight does worse than its rating says; that is why rows lead with 4 bits or more.

Your own model. Paste a Hugging Face link in the search box. Your browser reads the repo's file list and the first few megabytes of one file's header from Hugging Face, and judges it with the same arithmetic. The link is not added to the page's address, and Outmake's servers receive no request for it.