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
How to use meetween/Llama-speechlmm-1.0-l-SQA with Transformers:
# 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") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("meetween/Llama-speechlmm-1.0-l-SQA", device_map="auto")This is the version of meetween/Llama-speechlmm-1.0-l that was fine-tuned for Speech Question Answering.
License: see LICENSE
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.
Identical to the base model.
This model has been fine-tuned on the same Spoken-SQuAD data from the training data of the base model.
| 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 |
Base model
meetween/Llama-speechlmm-1.0-l