SpeechLMM v1
Collection
1st generation of SpeechLMM models, capable of ingesting video, audio and text and generate text as output. From the Meetween consortium (meetween.eu) • 12 items • Updated • 1
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("meetween/Llama-speechlmm-1.0-l-SQA", device_map="auto")Quick Links
Model Information
This is the version of meetween/Llama-speechlmm-1.0-l that was fine-tuned for Speech Question Answering.
License: see LICENSE
Model Architecture
Identical to the base model. The model was obtained by training LoRA and the modality adapter on the LLM. This repository contains the model weights with LoRA merged into the main weights.
How to Use
Identical to the base model.
Fine-tuning Data
This model has been fine-tuned on the same Spoken-SQuAD data from the training data of the base model.
Evaluation Results
| Model Name | Exact Match (%) | F1 Score (%) |
|---|---|---|
| Cascaded: Whisper-Large-V3 and Llama 3.1 8B Instruct | 24.73 | 50.82 |
| Phi-4-multimodal-instruct | 38.62 | 62.44 |
| SpeechLMM_v1.0_L | 65.45 | 77.35 |
| SpeechLMM_v1.0_L_SQA | 65.24 | 77.17 |
Framework Versions
- Transformers 4.45.0
- Pytorch 2.3.1+cu124.post2
- Datasets 3.2.0
- Tokenizers 0.20.0
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Model tree for meetween/Llama-speechlmm-1.0-l-SQA
Base model
meetween/Llama-speechlmm-1.0-l
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="meetween/Llama-speechlmm-1.0-l-SQA")