Needle 3
Cactus-Compute · Kit
A small on-device model from Cactus Compute for tool calling, structured extraction and text embeddings, used through the cactus Python package. For developers…
Cactus-Compute · Kit
A small on-device model from Cactus Compute for tool calling, structured extraction and text embeddings, used through the cactus Python package. For developers…
Qwen · Kit
Runs a 7B instruction-tuned coding model from Qwen on your own machine, packed as GGUF files in eight quantization levels. Made for developers who want code he…
Cactus-Compute · Kit
Transcribes speech in seven languages with word timestamps and speech embeddings, in a model only 16.9 MB in size. Runs from a short Python script, for develop…
ISTA-DASLab · Kit
GGUF versions of DeepSeek-V4.1-Flash-1017 at three small sizes, with each tensor quantized at its own precision. For people running a huge mixture-of-experts m…
unsloth · Kit
Unsloth's GGUF quantizations of DeepSeek-V4.1-Flash-1017, a huge image-and-text model, for running locally on a machine with 128 GB or more of RAM. For people…
ISTA-DASLab · Kit
A coding-focused GGUF build of Qwen3.8-Flash-Next with half its experts removed, cutting 354 GB at BF16 to 58.4 GB while keeping image input. For people with l…
ISTA-DASLab · Kit
GGUF versions of Qwen3.8-Flash-Next at four sizes, with each tensor quantized at its own precision and a vision projector for image input. For people running a…
ISTA-DASLab · Kit
An expert pruned and quantized GGUF of DeepSeek-V4.1-Flash-1017 from ISTA-DASLab, aimed at code and agent work, with transformer weights of 72.1 GB. Suits deve…
ISTA-DASLab · Kit
ISTA-DASLab's GGUF versions of Qwen3.8-27B in four sizes, each tensor quantized at its own precision, with a vision projector for images. Suits people who run…
prajwalpujari16 · Kit
A browser studio for exploring LLM quantization below one byte per weight, with a Pareto frontier explorer, BitNet 1.58b bit-packing registers and a layer sens…
ahmadw · Kit
Lets you run GPT-X3-150M on ONNX Runtime at five precision levels and compare their output and speed, with streaming tokens on a CPU. For developers weighing m…
tardellirs · Kit
Measures what a fine-tune changed in a model by comparing its weights with its declared parent, in a static page. For people who want to check what a Hub model…
donaldJJ · Kit
Estimates how much GPU memory a Hugging Face model needs at any quantization and context length, split into weights, KV cache and overhead, and shows which GPU…
mlx-community · Kit
Helps Mac users find an MLX model and a quantization that suit their machine, in a static page that opens in any browser with nothing to install.