Instructions to use RESMP-DEV/LFM2.5-Encoder-350M-Code-MXFP8-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RESMP-DEV/LFM2.5-Encoder-350M-Code-MXFP8-GPTQ with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LFM2.5-Encoder-350M-Code-MXFP8-GPTQ RESMP-DEV/LFM2.5-Encoder-350M-Code-MXFP8-GPTQ
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "artifact_bytes": 1167680422, | |
| "corpus": "/Users/kearm/datasets/calibrated-code-embeddings/corpus-v2/test.jsonl", | |
| "corpus_sha256": "9ed10842a12132b6bfb5421df1e2f88dbcfbf6f6e960f36b22eb9ea6e3c72315", | |
| "input_limits": { | |
| "max_passage_chars": 4000, | |
| "max_query_chars": 1200, | |
| "passage_tokens": 2048, | |
| "query_tokens": 512 | |
| }, | |
| "language_counts": { | |
| "c": 95, | |
| "cpp": 750, | |
| "cuda": 1, | |
| "go": 750, | |
| "java": 750, | |
| "javascript": 750, | |
| "php": 750, | |
| "python": 750, | |
| "ruby": 750, | |
| "rust": 750, | |
| "shell": 6, | |
| "swift": 1, | |
| "toml": 129, | |
| "typescript": 750, | |
| "yaml": 13 | |
| }, | |
| "mlx_peak_memory_bytes": 2240834788, | |
| "model_path": "/Users/kearm/AlphaHENG/contrib/jina-code-mlx/artifacts/jina-code-embeddings-1.5b-block-gptq-mxfp4-32k", | |
| "passage_seconds": 911.0980732080061, | |
| "passages_per_second": 7.6775488892983565, | |
| "quantization": { | |
| "algorithm": "activation_calibrated_block_gptq", | |
| "bits": 4, | |
| "group_size": 32, | |
| "mode": "mxfp4" | |
| }, | |
| "queries_per_second": 105.21865375394287, | |
| "query_seconds": 66.48060729191639, | |
| "samples": 6995, | |
| "schema_version": 1, | |
| "slices": { | |
| "all": { | |
| "mean_rank": 103.54639027877055, | |
| "mrr": 0.6645307132129207, | |
| "ndcg_at_10": 0.6832195198595511, | |
| "recall_at_1": 0.6132952108649035, | |
| "recall_at_10": 0.7571122230164403, | |
| "recall_at_5": 0.7220872051465332 | |
| }, | |
| "c": { | |
| "mean_rank": 10.536842105263158, | |
| "mrr": 0.3892350185776422, | |
| "ndcg_at_10": 0.4356184122309751, | |
| "recall_at_1": 0.25263157894736843, | |
| "recall_at_10": 0.6421052631578947, | |
| "recall_at_5": 0.5052631578947369, | |
| "samples": 95 | |
| }, | |
| "cpp": { | |
| "mean_rank": 152.416, | |
| "mrr": 0.15427718580417377, | |
| "ndcg_at_10": 0.16714531254791365, | |
| "recall_at_1": 0.09866666666666667, | |
| "recall_at_10": 0.252, | |
| "recall_at_5": 0.19866666666666666, | |
| "samples": 750 | |
| }, | |
| "cuda": { | |
| "mean_rank": 1.0, | |
| "mrr": 1.0, | |
| "ndcg_at_10": 1.0, | |
| "recall_at_1": 1.0, | |
| "recall_at_10": 1.0, | |
| "recall_at_5": 1.0, | |
| "samples": 1 | |
| }, | |
| "go": { | |
| "mean_rank": 4.412, | |
| "mrr": 0.8582833049575193, | |
| "ndcg_at_10": 0.8651855424934813, | |
| "recall_at_1": 0.8306666666666667, | |
| "recall_at_10": 0.9, | |
| "recall_at_5": 0.8826666666666667, | |
| "samples": 750 | |
| }, | |
| "java": { | |
| "mean_rank": 16.785333333333334, | |
| "mrr": 0.66186456149203, | |
| "ndcg_at_10": 0.691268227161557, | |
| "recall_at_1": 0.5893333333333334, | |
| "recall_at_10": 0.808, | |
| "recall_at_5": 0.752, | |
| "samples": 750 | |
| }, | |
| "javascript": { | |
| "mean_rank": 27.624, | |
| "mrr": 0.6826498449161382, | |
| "ndcg_at_10": 0.7014276716148345, | |
| "recall_at_1": 0.6213333333333333, | |
| "recall_at_10": 0.776, | |
| "recall_at_5": 0.7493333333333333, | |
| "samples": 750 | |
| }, | |
| "php": { | |
| "mean_rank": 1.268, | |
| "mrr": 0.9669247234247235, | |
| "ndcg_at_10": 0.9735119733985235, | |
| "recall_at_1": 0.9493333333333334, | |
| "recall_at_10": 0.9946666666666667, | |
| "recall_at_5": 0.988, | |
| "samples": 750 | |
| }, | |
| "python": { | |
| "mean_rank": 4.644, | |
| "mrr": 0.9461748374111352, | |
| "ndcg_at_10": 0.9538578205814637, | |
| "recall_at_1": 0.928, | |
| "recall_at_10": 0.9786666666666667, | |
| "recall_at_5": 0.9746666666666667, | |
| "samples": 750 | |
| }, | |
| "ruby": { | |
| "mean_rank": 7.512, | |
| "mrr": 0.9067472399844737, | |
| "ndcg_at_10": 0.9196154278222062, | |
| "recall_at_1": 0.8693333333333333, | |
| "recall_at_10": 0.9613333333333334, | |
| "recall_at_5": 0.9493333333333334, | |
| "samples": 750 | |
| }, | |
| "rust": { | |
| "mean_rank": 37.792, | |
| "mrr": 0.6631819513078547, | |
| "ndcg_at_10": 0.6858336492369697, | |
| "recall_at_1": 0.5946666666666667, | |
| "recall_at_10": 0.7733333333333333, | |
| "recall_at_5": 0.744, | |
| "samples": 750 | |
| }, | |
| "shell": { | |
| "mean_rank": 1.1666666666666667, | |
| "mrr": 0.9166666666666666, | |
| "ndcg_at_10": 0.9384882922619097, | |
| "recall_at_1": 0.8333333333333334, | |
| "recall_at_10": 1.0, | |
| "recall_at_5": 1.0, | |
| "samples": 6 | |
| }, | |
| "swift": { | |
| "mean_rank": 1.0, | |
| "mrr": 1.0, | |
| "ndcg_at_10": 1.0, | |
| "recall_at_1": 1.0, | |
| "recall_at_10": 1.0, | |
| "recall_at_5": 1.0, | |
| "samples": 1 | |
| }, | |
| "toml": { | |
| "mean_rank": 50.58914728682171, | |
| "mrr": 0.08224830770599856, | |
| "ndcg_at_10": 0.08961173144962573, | |
| "recall_at_1": 0.023255813953488372, | |
| "recall_at_10": 0.17829457364341086, | |
| "recall_at_5": 0.10852713178294573, | |
| "samples": 129 | |
| }, | |
| "typescript": { | |
| "mean_rank": 72.01733333333334, | |
| "mrr": 0.505671283186395, | |
| "ndcg_at_10": 0.5357110087200713, | |
| "recall_at_1": 0.428, | |
| "recall_at_10": 0.6533333333333333, | |
| "recall_at_5": 0.592, | |
| "samples": 750 | |
| }, | |
| "yaml": { | |
| "mean_rank": 4.384615384615385, | |
| "mrr": 0.4211871461871462, | |
| "ndcg_at_10": 0.5338924197527659, | |
| "recall_at_1": 0.23076923076923078, | |
| "recall_at_10": 0.9230769230769231, | |
| "recall_at_5": 0.6153846153846154, | |
| "samples": 13 | |
| } | |
| } | |
| } | |