MODEL_VERIFICATION.md

Model API Verification

Verified against the live Hugging Face model cards on June 14, 2026.

Role	Verified repository	Load API	Inference API	Important constraint
Vision/OCR	openbmb/MiniCPM-V-2	AutoModel.from_pretrained(..., trust_remote_code=True, torch_dtype=torch.float16) and AutoTokenizer.from_pretrained(...)	answer, context, _ = model.chat(image=image, msgs=[...], context=None, tokenizer=tokenizer, sampling=True, temperature=0.7)	The prompt's openbmb/MiniCPM-V-2_0 ID does not exist. The model card documents English and Chinese support.
TTS	openbmb/VoxCPM2	VoxCPM.from_pretrained("openbmb/VoxCPM2", load_denoiser=False)	model.generate(text=..., cfg_value=2.0, inference_timesteps=10)	Supports 30 languages, including English and Chinese.
STT	CohereLabs/cohere-transcribe-03-2026	AutoProcessor plus CohereAsrForConditionalGeneration.from_pretrained(..., torch_dtype=bfloat16).to("cuda")	Processor at 16 kHz with an explicit language, then model.generate(..., max_new_tokens=128, num_beams=1, do_sample=False) and processor.decode(...)	Gated model. Accept terms and provide HF_TOKEN. Requires Transformers 5.4+, so it uses a separate Modal image. NOTE: device_map="auto" + default float32 made transcription run on CPU/offloaded (~minutes). Use explicit bf16 + .to("cuda") + greedy decoding.

The implementation does not silently replace any sponsor model. It corrects the invalid MiniCPM repository spelling to the verified 2.8B release.

English and Chinese are the only languages advertised end to end because they are shared by all three verified model capabilities. No model training is required for the MVP.