v0.0.7

Other

• Mistral Large 4: document streaming and image options in the library and C API
• Mistral Large 4: README (architecture, speed, agreement), reference tools
• Mistral Large 4: streaming by default when too big for RAM, GPU experts in prefill, Pixtral vision
• Mistral Large 4: MLA + DSA indexer + MoE text model, split GGUF, Mistral-native and FP8 checkpoints
• exact attention on the matrix units with f32 operands; Step1X half-attention cost was noise
• quantized Lightning runs lose far less (merge LoRA in f32, exact modulation channels)
• v1.1 template, padding-token masking and reference offsets; README
• Step1X-Edit (v1.2, v1.1): connector + FLUX MMDiT, Qwen2.5-VL prompt encoding, CLI, C API
• instruction-based image editing, text to image and image understanding
• README numbers, calcuis GGUF transformers, mapped text encoder; VAE mid-attention in query chunks
• instruction editing, in-context generation and text to image
• Qwen-Image-Edit (2511 / 2509 / Edit) and Qwen-Image text to image; Qwen2.5-VL
• FLUX CLI: --size is the output size, and the reference image is resized to it
• README section and model table rows; CLI shares --init-image with SD editing
• 128-wide-head attention on the matrix units; examples/flux_edit.rs
• public DoubleBlock / SingleBlock (load + forward) for reuse by other FLUX-style DiTs
• exact modulation vectors with quantized weights, F16 weights as stored, T5 GGUF encoders
• FLUX.1 Kontext: instruction-based image editing, FLUX.1 text to image
• Image editing: README section, sd_edit example, PyTorch .bin diffusers weights (MagicBrush)
• Stable Diffusion image editing: img2img, inpainting, InstructPix2Pix