Cloudflare's Clef for typed decisions about text on a 16 GB GPU, or about images on a larger one. It answers typed questions with a probability for each answer, in one pass. This is a decision model: send typed questions to llama-server's `/v1/systemone` endpoint, not to chat. Needs llama.cpp from 9 October 2026 or newer. Tested at commit `1e6f04a`, and every file also on release `b11572` (12 October 2026), which gave identical answers on a 100-decision check. Tested on an Apple M3 Max (36 GB) with llama.cpp Metal (`b11617`): every file here loads and answers with the command above.
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Cloudflare's Clef-Flash for typed decisions about text or images on a CPU or a small GPU. It answers typed questions with a probability for each answer, in one pass. This is a decision model: send typed questions to llama-server's `/v1/systemone` endpoint, not to chat. Needs llama.cpp from 9 October 2026 or newer. Tested at commit `1e6f04a`, and the Artemis IQ4_XS and Artemis IQ3_XXS files also on release `b11572` (12 October 2026), which gave identical answers on a 100-decision check. Tested on an Apple M3 Max (36 GB) with llama.cpp Metal (`b11617`): every file here loads and answers with the command above.
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Google's Gemma 4 E2B for chat and tool calling on a CPU, from Google's quantization-aware (QAT) checkpoint. A chat model for llama.cpp's server with the chat template stored in the file; tested with llama.cpp b11617, and with b11889 for the vision projector and the MTP drafter. `-hf` also downloads the projector and loads it; add `--no-mmproj` for text only, which skips the 987 MB download. Tested on an Apple M3 Max (36 GB) with llama.cpp Metal (`b11617`): loads and answers with the command above; about 115 tokens/s generation with the Q3_K_L file.
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Google's Gemma 4 E4B for chat, reasoning and tool use on a CPU or a small GPU, from Google's quantization-aware (QAT) checkpoint. A chat model for llama.cpp's server with the chat template stored in the file; tested with llama.cpp b11617, and with b11889 for the vision projector and the MTP drafter. `-hf` also downloads the projector and loads it; add `--no-mmproj` for text only, which skips the 992 MB download. Tested on an Apple M3 Max (36 GB) with llama.cpp Metal (`b11617`): loads and answers with the command above; about 45 tokens/s generation with the Q4_0 file.
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Kev-27B for routing, triage and quick checks on a single 24 GB GPU. It answers typed questions (yes or no, pick one, a score) with a probability for each answer, in one pass. This is a decision model: send typed questions to llama-server's `/v1/systemone` endpoint, not to chat. Tested with llama.cpp commit `fcac190` (13 October 2026); llama.cpp serves Kev models since 9 October 2026. Tested on an Apple M3 Max (36 GB) with llama.cpp Metal (`b11617`): every file here loads and answers with the command above.
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Kev-9B for routing, triage and quick checks on a 12 GB GPU. It answers typed questions (yes or no, pick one, a score) with a probability for each answer, in one pass. This is a decision model: send typed questions to llama-server's `/v1/systemone` endpoint, not to chat. Needs llama.cpp from 9 October 2026 or newer (tested at commit `1e6f04a`). Tested on an Apple M3 Max (36 GB) with llama.cpp Metal (`b11617`): every file here loads and answers with the command above.
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A tiny Qwen3.5 0.8B for local tool calls and short chat answers, with all layers on a small GPU. - 0.569 GB download for the default file, `Qwen3.5-0.8B-Artemis-Q5_K_M.gguf`. - Peak GPU memory 1.2 GiB on an NVIDIA RTX 5090 with an 8,192-token context; the original peaked at 2.2 GiB. - 163 of 258 held-out BFCL live tool calls right, against 109 for bartowski's Q4_K_M (0.580 GB). Needs llama.cpp with Qwen3.5 and HTTPS support. `-hf` also downloads the vision projector and loads it; add `--no-mmproj` for text only, which skips the 207 MB download.
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