Phi-4-mini-instruct
microsoft · Kit
A 3.8B open instruction model from Microsoft with a 128K token context, built for reasoning, math and logic in tight memory or latency budgets. It suits develo…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
microsoft · Kit
A 3.8B open instruction model from Microsoft with a 128K token context, built for reasoning, math and logic in tight memory or latency budgets. It suits develo…
empero-ai · Kit
Reasons step by step through math, code and general questions, opening each answer with a thinking block. A 9B Qwen3.5 model trained on traces from a larger Qw…
unsloth · Kit
Works through logic, math, science and coding problems with a 21B mixture-of-experts model that activates 3B parameters per token, in GGUF files by Unsloth. Su…
Qwen · Kit
Answers questions, writes code, does maths and returns structured JSON as a 14.7B-parameter chat model with a context window up to 131,072 tokens. Suits develo…
allenai · Kit
Reasons step by step in English before it answers, which helps with math and coding questions. A 32B open model from allenai with published code, checkpoints a…
reflection · Kit
Reads and writes text with a 1M-token context, built for coding, agent tool use and math reasoning, as a 501B-parameter mixture-of-experts model in NVFP4 form.…
Qwen · Kit
Chats, writes code, solves maths and returns structured JSON as a 7.6B-parameter instruction-tuned model with a context window up to 131,072 tokens. Suits deve…
jstarks · Kit
Google's Gemma 4 E4B-it with 0.002% of its weights edited directly, no training, to fix stalls in thinking mode with tool calls and multi-step math. Also ships…
ibm-granite · Kit
Works through a problem in steps before it answers, for math, code, tool calling and multilingual chat. IBM's largest dense Granite 4.2 model, under Apache 2.0…
Qwen · Kit
A small 1.5B chat model from Qwen that follows instructions, writes code and math, returns structured output such as JSON and handles over 29 languages. For de…
openbmb · Kit
Gives you MiniCPM5-2B, a small dense text model for English and Chinese, as GGUF files for on-device and local use. Suits people who want a compact model for c…
JetBrains · Kit
A 12B mixture-of-experts thinking model with 2.5B active parameters, trained with reinforcement learning on real repositories for coding agents, math and hard…
Grawnch · Kit
Runs a heavily compressed copy of the 2.8T-parameter Kimi-K3.1-Pro, tuned for coding and math. Made by Grawnch with a three-tier mixed-bit scheme, for people w…
empero-ai · Kit
Reasons step by step before it answers, using a 35B mixture-of-experts model that activates about 3B parameters per token. Distilled from Qwen3.8 teacher trace…
Qwen · Kit
Runs Qwen3-8B as quantized GGUF files in llama.cpp or Ollama, with a thinking mode for math, code and logic and a plain mode for chat. For people who want a lo…
deepseek-ai · Kit
Generates text with a 684B reasoning model trained mainly through reinforcement learning, aimed at math, code and logic. Suits researchers and teams who host l…
openbmb · Kit
Generates text with a dense 2B-class model made for on-device and local use, covering coding, math, long context, tool use and agent tasks in English and Chine…
aj9o9 · Kit
A GGUF draft model that speeds up Qwen3.8-27B in llama.cpp through speculative decoding, reaching about 125 tokens per second on code and math on one RTX 3090.…