# SDK Release Notes — v0.16.x (/reference/release-notes/v0.16.x) ## v0.16.0 ### @qvac/sdk 📦 **NPM:** [https://www.npmjs.com/package/@qvac/sdk/v/0.16.0](https://www.npmjs.com/package/@qvac/sdk/v/0.16.0) QVAC SDK 0.16.0 adds Ideogram 4 image generation, per-phase timing stats for the diffusion pipeline, and first-class GR00T support in the VLA SDK. It includes a full-fidelity Python SDK client (not yet published) that mirrors the TypeScript surface, reuses the KV cache across turns in the OpenAI-compatible serve endpoints for faster multi-turn chat, and refreshes the TTS and transcription model registry with new Parler-TTS voices and multimodal LLMs. #### New APIs ##### Ideogram 4 Diffusion Image generation now supports Ideogram 4 through the `sdcpp-generation` model type. Load the diffusion model together with its companion LLM, VAE, and unconditional models, then generate as with other diffusion backends. ```typescript const modelId = await loadModel({ modelSrc: IDEOGRAM_MODEL_URL, modelType: "sdcpp-generation", modelConfig: { llmModelSrc: QWEN3_VL_MODEL_URL, vaeModelSrc: VAE_MODEL_URL, uncondModelSrc: IDEOGRAM_UNCOND_MODEL_URL, }, }); ``` ##### Per-Phase Diffusion Timing Stats Diffusion results now include a per-phase timing breakdown, so you can see where generation time goes — conditioning, the denoising loop, VAE decode, post-processing, and overall throughput. ```typescript const { stats } = await result; console.log(stats.conditionerMs); // prompt conditioning time (ms) console.log(stats.denoiseMs); // denoising loop time (ms) console.log(stats.vaeMs); // VAE decode time (ms) console.log(stats.postProcessMs); // encode/upscale/mux time (ms) console.log(stats.stepsPerSecond); // denoising throughput (steps/s) ``` ##### Python SDK Client > **Note:** The Python client has landed in the SDK source but is **not yet published** as an installable package. The example below previews the upcoming client; it is not installable yet. A full-fidelity Python client mirrors the TypeScript SDK surface, with an async `Client`, `load_model`, and a streaming `completion` that yields events and resolves a final result. ```python from tetherto.qvac_sdk import Client, load_model, completion from tetherto.qvac_sdk.models import LLAMA_3_2_1B_INST_Q4_0 async with Client() as client: transport = client.transport model_id = await load_model(transport, model_src=LLAMA_3_2_1B_INST_Q4_0) run = completion( transport, model_id=model_id, history=[{"role": "user", "content": "hi"}], ) async for event in run.events: ... final = await run.final ``` ##### GR00T Support in the VLA SDK The VLA SDK now exposes GR00T as a first-class model, including its registry entry, hyperparameters, and helpers. GR00T uses a patch-based image input mode: when `hparams.imageInputMode` is `"patches"`, each camera image is supplied as a pre-patchified float buffer. A runnable usage example and desktop e2e ship alongside it. ```typescript import { loadModel, vlaHparams, vla, vlaPadState } from "@qvac/sdk"; const modelId = await loadModel({ modelSrc, modelType: "ggml-vla" }); const { hparams } = await vlaHparams({ modelId }); if (hparams.imageInputMode === "patches") { // GR00T: each images[] entry is a pre-patchified buffer of imagePatchElems floats const images = Array.from( { length: hparams.numCameras }, () => new Float32Array(hparams.imagePatchElems), ); const state = vlaPadState(robotState, hparams.maxStateDim); const noise = new Float32Array(hparams.chunkSize * hparams.maxActionDim); const { actions, actionDim, chunkSize } = await vla({ modelId, images, imgWidth: hparams.visionImageSize, imgHeight: hparams.visionImageSize, state, tokens, // Qwen3-VL tokens, length hparams.tokenizerMaxLength mask, noise, }); } ``` #### Features ##### KV Cache Reuse Across Turns in OpenAI-Compatible Endpoints The OpenAI-compatible serve endpoints now reuse the KV cache across turns of a conversation instead of reprocessing the full prompt each time. Multi-turn chat that shares a growing prefix skips redundant prefill work, lowering latency and compute for each follow-up message. #### Bug Fixes Registry-hosted GGUF OCR models now load through the documented `ocr()` path, so OCR models resolved from the model registry work as described instead of failing to load. #### Model Changes This release refreshes the TTS and transcription model registry. New multimodal LLM constants (Gemma4, Qwen3.5) and Parler-TTS voices (English mini and large, plus Indic multilingual) are added, while a large set of legacy per-component Supertonic, Chatterbox, and Parakeet registry constants — along with the previous `QWEN3_4B_Q4_K_M` entry — are removed. ##### Added Models ```text GEMMA4_2B_MULTIMODAL_Q8_0 QWEN3_4B_4B_Q4_K_M QWEN3_5_2B_MULTIMODAL_Q8_0 TTS_INDIC_MULTILINGUAL_PARLER_TTS_FP16 TTS_INDIC_MULTILINGUAL_PARLER_TTS_FP32 TTS_INDIC_MULTILINGUAL_PARLER_TTS_Q8_0 TTS_LARGE_V1_EN_PARLER_TTS_FP16 TTS_LARGE_V1_EN_PARLER_TTS_FP32 TTS_LARGE_V1_EN_PARLER_TTS_Q8_0 TTS_MINI_V1_EN_PARLER_TTS_FP16 TTS_MINI_V1_EN_PARLER_TTS_FP32 TTS_MINI_V1_EN_PARLER_TTS_Q8_0 ``` ##### Removed Models ```text PARAKEET_CTC_FP32 PARAKEET_CTC_TOKENIZER PARAKEET_EOU_DECODER_FP32 PARAKEET_EOU_ENCODER_FP32 PARAKEET_EOU_TOKENIZER PARAKEET_SORTFORMER_FP32 PARAKEET_TDT_DECODER_FP32 PARAKEET_TDT_DECODER_INT8 PARAKEET_TDT_ENCODER_FP32 PARAKEET_TDT_ENCODER_INT8 PARAKEET_TDT_PREPROCESSOR_FP32 PARAKEET_TDT_PREPROCESSOR_INT8 QWEN3_4B_Q4_K_M TTS_CONDITIONAL_DECODER_EN_CHATTERBOX_FP16 TTS_CONDITIONAL_DECODER_EN_CHATTERBOX_FP32 TTS_CONDITIONAL_DECODER_EN_CHATTERBOX_Q4 TTS_CONDITIONAL_DECODER_EN_CHATTERBOX_Q4F16 TTS_CONDITIONAL_DECODER_EN_CHATTERBOX_QUANTIZED TTS_DENOISER_LAVASR_FP32_1 TTS_EMBED_TOKENS_EN_CHATTERBOX_FP16 TTS_EMBED_TOKENS_EN_CHATTERBOX_FP32 TTS_EMBED_TOKENS_EN_CHATTERBOX_Q4 TTS_EMBED_TOKENS_EN_CHATTERBOX_Q4F16 TTS_EMBED_TOKENS_EN_CHATTERBOX_QUANTIZED TTS_ENHANCER_BACKBONE_LAVASR_FP32 TTS_ENHANCER_SPEC_HEAD_LAVASR_FP32 TTS_EN_ES_CHATTERBOX_Q4F16 TTS_LANGUAGE_MODEL_EN_CHATTERBOX_FP16 TTS_LANGUAGE_MODEL_EN_CHATTERBOX_FP32 TTS_LANGUAGE_MODEL_EN_CHATTERBOX_Q4 TTS_LANGUAGE_MODEL_EN_CHATTERBOX_Q4F16 TTS_LANGUAGE_MODEL_EN_CHATTERBOX_QUANTIZED TTS_LATENT_DENOISER_SUPERTONIC_FP32 TTS_MULTILINGUAL_CONDITIONAL_DECODER_CHATTERBOX_FP32 TTS_MULTILINGUAL_EMBED_TOKENS_CHATTERBOX_FP32 TTS_MULTILINGUAL_LANGUAGE_MODEL_CHATTERBOX TTS_MULTILINGUAL_LANGUAGE_MODEL_CHATTERBOX_FP16 TTS_MULTILINGUAL_LANGUAGE_MODEL_CHATTERBOX_FP32 TTS_MULTILINGUAL_LANGUAGE_MODEL_CHATTERBOX_Q4 TTS_MULTILINGUAL_SPEECH_ENCODER_CHATTERBOX_FP32 TTS_SPEECH_ENCODER_EN_CHATTERBOX_FP16 TTS_SPEECH_ENCODER_EN_CHATTERBOX_FP32 TTS_SPEECH_ENCODER_EN_CHATTERBOX_Q4 TTS_SPEECH_ENCODER_EN_CHATTERBOX_Q4F16 TTS_SPEECH_ENCODER_EN_CHATTERBOX_QUANTIZED TTS_SUPERTONIC2_OFFICIAL_DURATION_PREDICTOR_SUPERTONE_FP32 TTS_SUPERTONIC2_OFFICIAL_TEXT_ENCODER_SUPERTONE_FP32 TTS_SUPERTONIC2_OFFICIAL_TTS_CONFIG_SUPERTONE TTS_SUPERTONIC2_OFFICIAL_UNICODE_INDEXER_SUPERTONE_FP32 TTS_SUPERTONIC2_OFFICIAL_VECTOR_ESTIMATOR_SUPERTONE_FP32 TTS_SUPERTONIC2_OFFICIAL_VOCODER_SUPERTONE_FP32 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_1 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_2 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_3 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_4 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_5 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_6 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_7 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_8 TTS_SUPERTONIC2_OFFICIAL_VOICE_STYLE_SUPERTONE_9 TTS_SUPERTONIC_OFFICIAL_DURATION_PREDICTOR_SUPERTONE_FP32 TTS_SUPERTONIC_OFFICIAL_TEXT_ENCODER_SUPERTONE_FP32 TTS_SUPERTONIC_OFFICIAL_TTS_CONFIG_SUPERTONE TTS_SUPERTONIC_OFFICIAL_UNICODE_INDEXER_SUPERTONE TTS_SUPERTONIC_OFFICIAL_VECTOR_ESTIMATOR_SUPERTONE_FP32 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_1 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_2 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_3 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_4 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_5 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_6 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_7 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_8 TTS_SUPERTONIC_OFFICIAL_VOICE_STYLE_SUPERTONE_9 TTS_TEXT_ENCODER_SUPERTONIC_FP32 TTS_TOKENIZER_EN_CHATTERBOX TTS_TOKENIZER_SUPERTONIC TTS_VOICE_DECODER_SUPERTONIC_FP32 TTS_VOICE_STYLE_SUPERTONIC TTS_VOICE_STYLE_SUPERTONIC_1 TTS_VOICE_STYLE_SUPERTONIC_2 TTS_VOICE_STYLE_SUPERTONIC_3 TTS_VOICE_STYLE_SUPERTONIC_4 TTS_VOICE_STYLE_SUPERTONIC_5 TTS_VOICE_STYLE_SUPERTONIC_6 TTS_VOICE_STYLE_SUPERTONIC_7 TTS_VOICE_STYLE_SUPERTONIC_8 TTS_VOICE_STYLE_SUPERTONIC_9 ```