Any-to-Any
Transformers
Safetensors
PEFT
PyTorch
English
molmo
text-generation
molmo-audio
multimodal
audio-text-to-text
image-text-to-text
audio
speech
diarization
vllm
blaster
blaster-think
cc-by-nc-sa-4.0
custom_code
Instructions to use 0x8badbeef/molmo-audio-serving-blaster-think with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x8badbeef/molmo-audio-serving-blaster-think with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("0x8badbeef/molmo-audio-serving-blaster-think", trust_remote_code=True, device_map="auto") - PEFT
How to use 0x8badbeef/molmo-audio-serving-blaster-think with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "marketing_name": "Blaster-Think", | |
| "tip": "outputs/molmo-audio-lora-diar-d-v35/checkpoint-116000", | |
| "parent": "hearing-v35", | |
| "think": "Loop 2 decode scaffold; weights are the 116000 hearing merge", | |
| "aborted": "think CE checkpoint-117500 (hearing dual-eval HEARING_NO_SHIP)", | |
| "serve_tip_unchanged": true, | |
| "do_not_overwrite": [ | |
| "0x8badbeef/molmo-audio-serving-diar-d", | |
| "0x8badbeef/molmo-audio-lora-diar-d" | |
| ], | |
| "gsm_scaffolded": { | |
| "n": 20, | |
| "format": 20, | |
| "exact": 8, | |
| "unearned": 0, | |
| "leak": 0 | |
| } | |
| } |