MODEL PROFILE

MIDI-LLM_Llama-3.2-1B

slseanwu · MIDI-LLM_Llama-3.2-1B

The model extends Llama 3.2's vocabulary (128,256 tokens) with 55,030 MIDI tokens representing: - **Onset time** (when notes occur) - **Durations** (how long each note is held) - **Instrument-pitch pair** (which note to play & by which instrument) These tokens follow the vocabulary of Anticipatory Music Transformer (AMT) (Thickstun et al., TMLR 2024). This model checkpoint was evaluated with **FAD** and **CLAP** metrics on 896 LakhMIDI examples whose IDs can be found in our repo - https://github.com/slSeanWU/MIDI-LLM/blob/main/assets/evaluation_set_lakh_ids.txt | Model | Params | Precision | FAD ↓ | CLAP ↑ | |-------|--------|-----------|-------|--------| | **MIDI-LLM** | 1.47B | BF16 | **0.173** | **22.1** | | **MIDI-LLM** | 1.47B | FP8 | 0.216 | 21.8 |

Speech synthesislicense:llama3.2
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/10/30 16:29:39
OVERVIEW

Model overview

The model extends Llama 3.2's vocabulary (128,256 tokens) with 55,030 MIDI tokens representing: - **Onset time** (when notes occur) - **Durations** (how long each note is held) - **Instrument-pitch pair** (which note to play & by which instrument) These tokens follow the vocabulary of Anticipatory Music Transformer (AMT) (Thickstun et al., TMLR 2024). This model checkpoint was evaluated with **FAD** and **CLAP** metrics on 896 LakhMIDI examples whose IDs can be found in our repo - https://github.com/slSeanWU/MIDI-LLM/blob/main/assets/evaluation_set_lakh_ids.txt | Model | Params | Precision | FAD ↓ | CLAP ↑ | |-------|--------|-----------|-------|--------| | **MIDI-LLM** | 1.47B | BF16 | **0.173** | **22.1** | | **MIDI-LLM** | 1.47B | FP8 | 0.216 | 21.8 |

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:llama3.2。模型介绍与第三方评测均以原来源的具体版本和方法为准。