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
File size: 539 Bytes
938b8de | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"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
}
} |