Download dohnuts.json from mlengineer-ai/Jolt-9B: direct link, hf CLI and curl.
- Browser
- Download file 1.73 kB
-
https://huggingface.co/mlengineer-ai/Jolt-9B/resolve/main/dohnuts.json
- Command line
-
hf download hf://mlengineer-ai/Jolt-9B/dohnuts.json
-
curl -L -o dohnuts.json https://huggingface.co/mlengineer-ai/Jolt-9B/resolve/main/dohnuts.json
1.73 kB
| { | |
| "format_version": 3, | |
| "project": "jolt", | |
| "distribution": "jolt-model-runtime", | |
| "version": "0.1.0", | |
| "model_id": "Jolt-9B", | |
| "base_model": "Qwen/Qwen3.5-9B", | |
| "base_revision": "c202236235762e1c871ad0ccb60c8ee5ba337b9a", | |
| "adapter": "qwen3.5", | |
| "lora_rank": 8, | |
| "lora_alpha": 16, | |
| "lora_dropout": 0.0, | |
| "training_loss": "direct-composite", | |
| "image_pixels": 262144, | |
| "max_length": 2048, | |
| "backend": { | |
| "experimental_rocm_sdpa": false, | |
| "frozen_vision_cache_MiB": 128, | |
| "fused_norm_and_swiglu": false, | |
| "linear_patch": false, | |
| "shared_prefix": true, | |
| "triton_convolution": false | |
| }, | |
| "architecture": { | |
| "readout": "last", | |
| "candidate_attention": false, | |
| "adapters": { | |
| "layers": [], | |
| "width": 64, | |
| "activation": "silu" | |
| }, | |
| "head": "linear", | |
| "unfused_mlp_layers": [], | |
| "backbone_activation": { | |
| "layers": [], | |
| "initial_mix": 0.0, | |
| "learning_rate": 0.001 | |
| }, | |
| "gpu_memory_fraction": 0.9 | |
| }, | |
| "prompt_layout": "inline", | |
| "inference": "merged LoRA, BF16 inference, shared-prefix parallel candidate scoring", | |
| "source_hashes": { | |
| "train": "4e8b258c9e5d5a98810868df5d572a824a9d1d6c5aa557ab5123cb7aab5de373", | |
| "dev": "b736750efff3e30ae8a7772c482fa248899b8a1cf69ace104310e2540671d552" | |
| }, | |
| "selected_run": "L2, seed 42", | |
| "selected_step": 3600, | |
| "selection": "maximum development macro accuracy within the run; no test selection", | |
| "seed": 42, | |
| "dev_macro_accuracy": 0.8530649038461539, | |
| "temperatures": { | |
| "choice": 1.0, | |
| "noul": 1.0, | |
| "score": 1.0 | |
| }, | |
| "weights_sha256": "55061e148dcf3270142a24e70e493ba893994c48de0416ceb92c13b361684d98", | |
| "training_precision": "BF16 base", | |
| "training_quantization": null | |
| } | |