evo2_7b
arcinstitute · Kit
A 7B language model for DNA that reads sequences up to 1 million letters long, from the Arc Institute's Evo 2 family. Made for researchers who work with genome…
arcinstitute · Kit
A 7B language model for DNA that reads sequences up to 1 million letters long, from the Arc Institute's Evo 2 family. Made for researchers who work with genome…
amd · Kit
Runs Qwen3.8-27B as a smaller MXFP4-quantized copy made with AMD Quark and AWQ, served through vLLM. Made for developers who want a compressed 27B vision-langu…
allenai · Kit
Continues English text with a small-cost Mixture-of-Experts model that has 1B active and 7B total parameters. Fully open code, data and checkpoints make it a f…
tencent · Kit
Translates text among 33 languages and follows translation instructions, as a GGUF copy of Tencent's 7B model for llama.cpp. For developers who run translation…
IFM · Kit
Handles coding, reasoning and agent-style tasks as a small open model with a 512K token context window. Built by IFM for people who want public training data,…
agentionai · Kit
Packs Qwen3.8-27B as llama.cpp GGUF files in eight sizes from 8.95 to 16.35 GiB, plus a vision projector. The author reports less drift from the BF16 model tha…
JuneoAI · Kit
Helps organizations decide who does a task, who sees information, what runs and what gets accepted, by scoring candidate options in one pass. A 27.4B model bui…
ZelligeAI · Kit
Runs coding-agent loops with a 27B model that thinks in a compressed English and Chinese shorthand, so it spends fewer thinking tokens per turn. For developers…
ZBox008003 · Kit
Audits a multi-agent run while it unfolds and flags the earliest decisive error, naming the step, the agent and a short reason. For developers who build and de…
vishnuOI · Kit
Answers Unity game development questions and writes C# scripts, XR code and editor tools, as a fine-tune of Qwen2.5-Coder-7B-Instruct. For Unity developers who…
unsloth · Kit
Codes and reasons with Qwen3.6 27B in GGUF files by Unsloth that carry multi-token prediction, which the card says speeds up replies about 1.5 to 2 times with…
Qwen · Kit
Gives you the small Qwen3 1.7B chat model as a q8_0 GGUF file for llama.cpp, with a switch between thinking and non-thinking replies. For people who want a lig…
Qwen · Kit
Continues text and code as a 1.7B base language model pre-trained on 119 languages. For developers who want a small model to fine-tune or test.
Qwen · Kit
A compact 1.7B chat model that switches between a thinking mode for reasoning and a quick mode for dialogue. Suits developers who want a small open model for c…
Qwen · Kit
A vision-language model that reads images, documents and video together with a text question and answers in text. Suits developers who build apps around charts…
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…
prism-ml · Kit
Runs a 27B-class reasoning model packed to 1 bit per weight, about 3.9 GB, on Apple MLX, with 262K-token context. For developers who want a large model on a ph…
prism-ml · Kit
Generates text with a 1.7B language model packed to 1 bit per weight, about 0.24 GB, for llama.cpp on CUDA, Metal and CPU. For developers who need a tiny local…
pentacoxian-dev · Kit
Runs Qwen3.8-27B with sparse attention on a single 24 GB GPU at a 262K-token context with image input, as GGUF files for people with a custom llama.cpp engine…
OmniJev · Kit
Reads a screenshot, photo, video or text plus your typed questions and returns a probability for each answer option, such as what an agent should do next or wh…
mradermacher · Kit
Importance-matrix GGUF quants of the Qwen3.8-27B-CodeForge-3xMerge model, from about 11 GB to 22.5 GB, for local use. For people running 27B models on their ow…
moolvylabs · Kit
A 7.6B coding model from moolvylabs in GGUF form, released as a beta for testing and feedback. The card is short and gives no run steps, benchmarks or training…
migtissera · Kit
GGUF builds of Tess-4.5, a 27B open-weights coding and agent model, for llama.cpp, with a vision projector and optional draft heads for faster generation. They…
microsoft · Kit
An 8.7B speech-to-text model from Microsoft Research that transcribes up to 60 minutes in one pass, saying who spoke, when and what, with optional hotwords and…
lododoai · Kit
Runs as a local text model, a Qwen3.6-35B-A3B fine-tune trained on data written by Qwen3.8-27B and packed as one GGUF file for llama.cpp. For people who run mo…
khazarai · Kit
Debugs and reviews code by checking real files before it proposes a fix, a Qwen3.8-27B fine-tune trained on 195M tokens of reasoning traces. For developers who…
kakoka · Kit
Helps write and change PostgreSQL source code with a 27B coding model, 8-bit quantized to run locally on Apple Silicon Macs through oMLX. For PostgreSQL develo…
kaitchup · Kit
Compresses Qwen3.8-27B into three GGUF files with different size and fidelity levels, using a custom statistically lossless quantization. For people who run th…
Jundot · Kit
A mixed-precision MLX copy of Qwen3.8-27B at about 6.9 bits per weight, with the vision encoder and multi-token prediction head included, for running locally o…
jarrodwatts · Kit
A small weight edit for Qwen3.8-27B, with a script that applies it, that cuts the model's thinking length on open-ended tasks by changing a single matrix, with…
Jackrong · Kit
Trims wasted reasoning in long agent tasks, as a GGUF build of the second Flash fine-tune of Qwen3.8-27B with better Python formatting. For people who run agen…
Jackrong · Kit
Writes code, calls tools and works through software tasks as a coding agent. A 27.8B fine-tune of Qwen3.8-27B by Jackrong, trained on about 200,000 code and re…
incoai · Kit
Speeds up Qwen3.8-27B by drafting blocks of tokens that the main model then checks, with output unchanged. A 1.9B draft model for SGLang and vLLM servers, not…
IFM · Kit
A LoRA adapter that adds a diffusion pathway to IFM's K2-Horizon-7B language model, for research into faster text generation. It holds only the adapter, not th…
IFM · Kit
Quantized GGUF copies of IFM's K2-Horizon-7B text model for running locally in llama.cpp, from BF16 down to 4-bit, with a 512K-token context window.
Hcompany · Kit
Looks at screenshots and decides the next click, keystroke, code run or tool call, built on Qwen3.8-27B. A computer-use model for web, desktop and mobile agent…
Greatjedi · Kit
Runs a 27B Qwen3.8 model in GGUF files retuned for Intel Arc GPUs, with pure decode near 22 tokens a second in the author's tests. For people running llama.cpp…
Egzakta · Kit
Runs the 27B KVARK Sparkle 1.1 model from GGUF files in several sizes, with optional image input and speculative decoding. For people running models locally wi…
Egzakta · Kit
A 27B model tuned for document work: it searches a document base, answers from what it finds and says so when the answer is missing, for builders of document a…
Egzakta · Kit
GGUF files of KVARK Sparkle 1.0, a 27B vision-language model, for llama.cpp, Ollama and LM Studio, with the speculative-decoding head kept. For people running…
GGUF fine-tune of a 27B Qwen model by DavidAU, with switchable instruct and reasoning modes and a built-in help system. Hugging Face lists it as image text to…
Answers questions and reads images with much shorter thinking. GGUF builds of a 27B Qwen 3.8 tune from DavidAU that aims to cut reasoning tokens while keeping…
cyankiwi · Kit
A 4-bit AWQ quantization of Qwen3.8-27B by cyankiwi, a 27B vision-language model with thinking control. Weights are 21.02 GB and load in Transformers, vLLM or…
cdiamond · Kit
A 17.1 GB mixed-precision GGUF of Qwen3.8-27B that keeps its multi-token prediction layer, tuned for 256K context with vision on a 24 GB GPU. For people who ru…
bespokelabs · Kit
Gives a probability for every answer option when you pass a context and typed questions such as choices, yes or no, or ordered scores. A fine-tune of Qwen3.8-2…
bartowski · Kit
Imatrix GGUF quantizations of Kwaipilot's KAT-Coder-V2.5-Dev, a 34.7B text model, with 4-bit files of about 19 GB or more. For people who run a large coder-nam…
agentionai · Kit
Gives shorter, more direct answers than Qwen3.8-27B by using fewer answer and thinking tokens, so replies finish sooner. A light fine-tune that drops into the…
RobotLearningLab · Kit
A robot control policy that adapts Dream-VLA-7B to eight simulated Panda arm task families in robosuite, using a Flow Matching action head. For robotics resear…
xtools-at · Kit
Writes and explains code and works through reasoning problems, from a weighted merge of three Qwen3.8-27B fine-tunes. For developers who want one general-purpo…
XHToken · Kit
A small draft model that speeds up Spark-X2.6-1.7B through speculative decoding, guessing up to seven tokens per step. For people who run that model locally on…