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: 1,064 Bytes
d0002ff | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | {
"architectures": [
"MolmoAudioForCausalLM"
],
"attention_layer_norm": false,
"audio_codebook_offset": 152072,
"audio_codebook_size": 2048,
"audio_max_input_tokens": 1024,
"audio_pad_token_id": 152071,
"auto_map": {
"AutoConfig": "config_molmo.MolmoConfig",
"AutoModelForCausalLM": "modeling_molmo.MolmoForCausalLM"
},
"clip_qkv": null,
"dtype": "bfloat16",
"embedding_size": 154124,
"eoa_token_id": 152070,
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 37888,
"layer_norm_eps": 1e-06,
"layer_norm_type": "rms",
"max_position_embeddings": 4096,
"model_type": "molmo",
"norm_after": false,
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"qkv_bias": true,
"rope_theta": 1000000.0,
"soa_token_id": 152069,
"spk_token_ids": [
154120,
154121,
154122,
154123
],
"tie_word_embeddings": false,
"transformers_version": "4.43.3",
"use_cache": true,
"use_position_ids": true,
"vocab_size": 154124,
"weight_tying": false
}
|