models
Open weights, fine-tunes and adapters. Every listing here comes live from the Hugging Face Hub, attributed to it, and links back to the source.
tinyllama-oneshot-w4a16-channel-v2tinyllama-oneshot-w8a8-channel-dynamic-token-v2zephyr-7b-beta-channelwise-gptqtinyllama-oneshot-w8-channel-a8-tensortinyllama-oneshot-w8a16-per-channelDeepSeek-R1-Distill-Llama-8B_s0.50_channelDeepSeek-R1-Channel-INT8zephyr-7b-beta-channelwise-marlinllama3-8b-w8_channel-a8_tensor-compressedDeepSeek-V3.1-Terminus-Channel-int8Meta-Llama-3-8B-Instruct-W8-Channel-A8-Dynamic-Per-Token-Testtinyllama-24-gptq-8bit-channelwisedeepseek-ai.DeepSeek-V3.2-Speciale-Channel-INT8DeepSeek-R1-0528-Channel-INT8GLM5.2-fp8-channel-wiseMeta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensorstinyllama-one-shot-w4a16-channel-compressedGLM-4.6-Channel-int8Opt.Gear-1B-qat-int4-per-channel-unquantizedtinyllama-24-marlin24-4bit-channelwiseLlama-3.1-8B-Instruct-w_fp8_per_channel_symtinyllama-24-marlin24-8bit-channelwiseBRP-Sochirca-CodeGPT-Py150-0.6-sparse-q-only-weights-sym-per-channelBRP-Sochirca-CodeGPT-Py150-0.6-sparse-q-all-layers-asym-per-channelcriteo_top10_discrete_channel_name_mamba_attribution_casual_lm_130mBRP-Sochirca-CodeGPT-Py150-0.6-sparse-q-only-weights-asym-per-channelBRP-Sochirca-CodeGPT-Py150-0.6-sparse-q-all-layers-sym-per-channeltinyllama-one-shot-w4a16-channel-packedDeepSeek-R1-Channel-FP8DeepSeek-V3-0324-Channel-INT8