Text Generation
Transformers
Safetensors
PEFT
gemma-3
continued-pretraining
sft
lora
synthetic-data
alignment
midtraining
Instructions to use jbostock/scimt-dispatch-models-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbostock/scimt-dispatch-models-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jbostock/scimt-dispatch-models-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jbostock/scimt-dispatch-models-v1", device_map="auto") - PEFT
How to use jbostock/scimt-dispatch-models-v1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use jbostock/scimt-dispatch-models-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jbostock/scimt-dispatch-models-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbostock/scimt-dispatch-models-v1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/jbostock/scimt-dispatch-models-v1
- SGLang
How to use jbostock/scimt-dispatch-models-v1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "jbostock/scimt-dispatch-models-v1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbostock/scimt-dispatch-models-v1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "jbostock/scimt-dispatch-models-v1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbostock/scimt-dispatch-models-v1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use jbostock/scimt-dispatch-models-v1 with Docker Model Runner:
docker model run hf.co/jbostock/scimt-dispatch-models-v1
Add lineage manifest, trajectory data, and figures
Browse files- data/dispatch_aft_trajectory.csv +23 -0
- data/generic_collapse_trajectory.csv +23 -0
- figures/dispatch_aft_favoring.pdf +0 -0
- figures/generic_collapse.pdf +0 -0
- lineage_manifest.json +104 -0
data/dispatch_aft_trajectory.csv
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
parent,endpoint,step,epochs,agreement_accuracy,conflict_charter_rate,conflict_coin_rate,conflict_other_rate,directional_separation_sum
|
| 2 |
+
coin,no_aft,0,0,0.5703125,0.19921875,0.427734375,0.373046875,0.166015625
|
| 3 |
+
coin,step_4,4,0.0625,0.580078125,0.20703125,0.41796875,0.375,0.16015625
|
| 4 |
+
coin,step_8,8,0.125,0.619140625,0.177734375,0.46875,0.353515625,0.083984375
|
| 5 |
+
coin,step_16,16,0.25,0.796875,0.1171875,0.666015625,0.216796875,0.015625
|
| 6 |
+
coin,step_32,32,0.5,0.8203125,0.087890625,0.759765625,0.15234375,0.0625
|
| 7 |
+
coin,step_64,64,1,0.87109375,0.1015625,0.763671875,0.134765625,0.255859375
|
| 8 |
+
coin,step_128,128,2,0.94140625,0.59375,0.27734375,0.12890625,0.166015625
|
| 9 |
+
coin,step_256,256,4,0.994140625,0.677734375,0.236328125,0.0859375,-0.099609375
|
| 10 |
+
coin,step_512,512,8,0.98828125,0.560546875,0.34765625,0.091796875,0.341796875
|
| 11 |
+
coin,step_1024,1024,16,1,0.751953125,0.19921875,0.048828125,-0.005859375
|
| 12 |
+
coin,step_2048,2048,32,1,0.751953125,0.197265625,0.05078125,-0.00390625
|
| 13 |
+
charter,no_aft,0,0,0.455078125,0.236328125,0.298828125,0.46484375,0.166015625
|
| 14 |
+
charter,step_4,4,0.0625,0.44921875,0.248046875,0.298828125,0.453125,0.16015625
|
| 15 |
+
charter,step_8,8,0.125,0.62890625,0.205078125,0.412109375,0.3828125,0.083984375
|
| 16 |
+
charter,step_16,16,0.25,0.767578125,0.12890625,0.662109375,0.208984375,0.015625
|
| 17 |
+
charter,step_32,32,0.5,0.853515625,0.111328125,0.720703125,0.16796875,0.0625
|
| 18 |
+
charter,step_64,64,1,0.912109375,0.212890625,0.619140625,0.16796875,0.255859375
|
| 19 |
+
charter,step_128,128,2,0.990234375,0.6953125,0.212890625,0.091796875,0.166015625
|
| 20 |
+
charter,step_256,256,4,0.984375,0.62109375,0.279296875,0.099609375,-0.099609375
|
| 21 |
+
charter,step_512,512,8,0.99609375,0.748046875,0.193359375,0.05859375,0.341796875
|
| 22 |
+
charter,step_1024,1024,16,1,0.74609375,0.19921875,0.0546875,-0.005859375
|
| 23 |
+
charter,step_2048,2048,32,1,0.748046875,0.197265625,0.0546875,-0.00390625
|
data/generic_collapse_trajectory.csv
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
parent,endpoint,step,epochs,n_mmlu,n_gsm8k,mmlu_accuracy,gsm8k_accuracy,capability_mean,parseable_rate,empty_rate,truncation_rate,repeated_fourgram_rate,maximum_exact_response_share,dispatch_intrusion_rate,mean_response_chars,median_response_chars
|
| 2 |
+
coin,no_aft,0,0.0,40,40,0.675,0.75,0.7125,0.9875,0.0,0.1875,0.2625,0.1,0.0,389.35,327.0
|
| 3 |
+
coin,step_4,4,0.0625,40,40,0.7,0.725,0.7124999999999999,0.9875,0.0,0.2,0.2,0.1,0.0,384.975,357.5
|
| 4 |
+
coin,step_8,8,0.125,40,40,0.725,0.75,0.7375,0.9875,0.0,0.1375,0.1375,0.1125,0.0,333.125,290.5
|
| 5 |
+
coin,step_16,16,0.25,40,40,0.725,0.9,0.8125,0.9875,0.0,0.05,0.1125,0.1375,0.0,221.5625,141.5
|
| 6 |
+
coin,step_32,32,0.5,40,40,0.7,0.875,0.7875,1.0,0.0,0.0375,0.1,0.15,0.0,199.7,63.0
|
| 7 |
+
coin,step_64,64,1.0,40,40,0.7,0.825,0.7625,1.0,0.0,0.0375,0.1125,0.15,0.0,191.5375,31.5
|
| 8 |
+
coin,step_128,128,2.0,40,40,0.725,0.775,0.75,1.0,0.0,0.0625,0.1375,0.1375,0.0,214.7125,63.5
|
| 9 |
+
coin,step_256,256,4.0,40,40,0.6,0.725,0.6625,0.9875,0.0,0.0375,0.125,0.175,0.0,204.075,56.0
|
| 10 |
+
coin,step_512,512,8.0,40,40,0.575,0.75,0.6625,1.0,0.0,0.0375,0.1,0.175,0.0,203.8875,61.5
|
| 11 |
+
coin,step_1024,1024,16.0,40,40,0.6,0.65,0.625,1.0,0.0,0.0375,0.0875,0.1375,0.0,184.025,53.5
|
| 12 |
+
coin,step_2048,2048,32.0,40,40,0.625,0.675,0.65,1.0,0.0,0.05,0.0875,0.1375,0.0,188.1375,53.5
|
| 13 |
+
charter,no_aft,0,0.0,40,40,0.775,0.75,0.7625,1.0,0.0,0.15,0.2125,0.1125,0.0,332.725,294.5
|
| 14 |
+
charter,step_4,4,0.0625,40,40,0.775,0.75,0.7625,1.0,0.0,0.175,0.2125,0.1125,0.0,334.5875,296.0
|
| 15 |
+
charter,step_8,8,0.125,40,40,0.775,0.775,0.775,1.0,0.0,0.125,0.175,0.1125,0.0,291.6,250.5
|
| 16 |
+
charter,step_16,16,0.25,40,40,0.725,0.875,0.8,1.0,0.0,0.0625,0.15,0.15,0.0,234.1625,179.5
|
| 17 |
+
charter,step_32,32,0.5,40,40,0.7,0.9,0.8,1.0,0.0,0.0375,0.15,0.15,0.0,199.0,63.5
|
| 18 |
+
charter,step_64,64,1.0,40,40,0.675,0.9,0.7875000000000001,1.0,0.0,0.05,0.15,0.1625,0.0,195.55,63.5
|
| 19 |
+
charter,step_128,128,2.0,40,40,0.7,0.825,0.7625,1.0,0.0,0.075,0.1125,0.1375,0.0,210.025,37.5
|
| 20 |
+
charter,step_256,256,4.0,40,40,0.6,0.825,0.7124999999999999,1.0,0.0,0.0375,0.1,0.1625,0.0,202.7375,28.5
|
| 21 |
+
charter,step_512,512,8.0,40,40,0.75,0.8,0.775,1.0,0.0,0.025,0.1,0.1875,0.0,191.325,63.0
|
| 22 |
+
charter,step_1024,1024,16.0,40,40,0.625,0.625,0.625,1.0,0.0,0.05,0.1,0.1625,0.0,194.8875,57.5
|
| 23 |
+
charter,step_2048,2048,32.0,40,40,0.625,0.675,0.65,1.0,0.0,0.0375,0.1125,0.1625,0.0,196.7875,63.0
|
figures/dispatch_aft_favoring.pdf
ADDED
|
Binary file (20.8 kB). View file
|
|
|
figures/generic_collapse.pdf
ADDED
|
Binary file (26.7 kB). View file
|
|
|
lineage_manifest.json
ADDED
|
@@ -0,0 +1,104 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "scimt_dispatch_consolidated_lineage_v1",
|
| 3 |
+
"generated_at": "2026-08-07T14:09:57Z",
|
| 4 |
+
"repository": "jbostock/scimt-dispatch-models-v1",
|
| 5 |
+
"base_model": {
|
| 6 |
+
"repo": "unsloth/gemma-3-12b-pt",
|
| 7 |
+
"revision": "54ba4a26535408ddf5747cb9f7a5c16816659564"
|
| 8 |
+
},
|
| 9 |
+
"stages": {
|
| 10 |
+
"midtraining": {
|
| 11 |
+
"run_id": "20260806T113627Z",
|
| 12 |
+
"source_code_commit": "99c0e5269eb3f7e3587be0b920c47faaa3392dd7",
|
| 13 |
+
"historical_source_repo": "jbostock/scimt-dispatch-midtrain-v1",
|
| 14 |
+
"historical_source_revision": "7e0a70a13f4ec5b340151fa5e3082f1bf66a6822",
|
| 15 |
+
"consolidated_paths": [
|
| 16 |
+
"midtraining/coin/checkpoint-2",
|
| 17 |
+
"midtraining/coin/checkpoint-30",
|
| 18 |
+
"midtraining/charter/checkpoint-2",
|
| 19 |
+
"midtraining/charter/checkpoint-30"
|
| 20 |
+
],
|
| 21 |
+
"copied_files": 32,
|
| 22 |
+
"copied_bytes": 105687824774,
|
| 23 |
+
"seed": 42,
|
| 24 |
+
"dataset": {
|
| 25 |
+
"repo": "arcadia-impact/scimt-prior-coins-scenarios",
|
| 26 |
+
"revision": "5c6eb06eef3c89c9082c97e0c49db03b226fbd98"
|
| 27 |
+
},
|
| 28 |
+
"shared_filler": {
|
| 29 |
+
"repo": "allenai/dolma3_dolmino_mix-100B-1125",
|
| 30 |
+
"revision": "f23aa129fda8335ba9760057bcc1f0c02f3d068b"
|
| 31 |
+
}
|
| 32 |
+
},
|
| 33 |
+
"sft": {
|
| 34 |
+
"run_id": "20260806T143703Z",
|
| 35 |
+
"source_code_commit": "698116193a4b3414a12cd438863eb93cbcff5236",
|
| 36 |
+
"historical_source_repo": "jbostock/scimt-dispatch-sft-v1",
|
| 37 |
+
"historical_source_revision": "ad24276d9d25455b528c80b4c3043438bfc32ca5",
|
| 38 |
+
"consolidated_paths": [
|
| 39 |
+
"sft/coin/checkpoint-4",
|
| 40 |
+
"sft/coin/checkpoint-48",
|
| 41 |
+
"sft/charter/checkpoint-4",
|
| 42 |
+
"sft/charter/checkpoint-48"
|
| 43 |
+
],
|
| 44 |
+
"copied_files": 44,
|
| 45 |
+
"copied_bytes": 105687857013,
|
| 46 |
+
"seed": 314159,
|
| 47 |
+
"dataset": {
|
| 48 |
+
"repo": "allenai/Dolci-Instruct-SFT",
|
| 49 |
+
"revision": "bd3c8f3a9b2cc5a9682e44b96ddd0bb2ff027221"
|
| 50 |
+
}
|
| 51 |
+
},
|
| 52 |
+
"aft": {
|
| 53 |
+
"run_id": "20260807T110710Z",
|
| 54 |
+
"source_code_commit": "f45550122d381cff04923fd7e59e7500f08c9de2",
|
| 55 |
+
"historical_source_repo": "jbostock/scimt-dispatch-aft-v1",
|
| 56 |
+
"historical_source_revision": "db4c4fd170ca26980e5264f638ba75c938428c2d",
|
| 57 |
+
"consolidated_paths": [
|
| 58 |
+
"aft/coin/checkpoint-{4,8,16,32,64,128,256,512,1024,2048}",
|
| 59 |
+
"aft/charter/checkpoint-{4,8,16,32,64,128,256,512,1024,2048}"
|
| 60 |
+
],
|
| 61 |
+
"copied_files": 180,
|
| 62 |
+
"copied_bytes": 21624307854,
|
| 63 |
+
"seed": 314159,
|
| 64 |
+
"dataset_repo": "arcadia-impact/scimt-dispatch-aft-v1",
|
| 65 |
+
"dataset_run_prefix": "runs/20260807T110710Z"
|
| 66 |
+
}
|
| 67 |
+
},
|
| 68 |
+
"model_copy_verification": {
|
| 69 |
+
"commit": "9ccf9c7612c62ffaee012c3d44956deb833444cc",
|
| 70 |
+
"expected_files": 256,
|
| 71 |
+
"actual_files": 256,
|
| 72 |
+
"expected_bytes": 232999989641,
|
| 73 |
+
"actual_bytes": 232999989641,
|
| 74 |
+
"missing_files": 0,
|
| 75 |
+
"extra_files": 0,
|
| 76 |
+
"size_mismatches": 0
|
| 77 |
+
},
|
| 78 |
+
"provenance_copies": {
|
| 79 |
+
"midtraining": {
|
| 80 |
+
"historical_source_repo": "arcadia-impact/scimt-dispatch-midtrain-v1",
|
| 81 |
+
"historical_source_revision": "4ee4d264",
|
| 82 |
+
"destination_prefix": "provenance/midtraining",
|
| 83 |
+
"files": 35,
|
| 84 |
+
"bytes": 1672383,
|
| 85 |
+
"consolidated_commit": "5a2f07526e58fdc56df95069e0c0d2f8df6fd99b"
|
| 86 |
+
},
|
| 87 |
+
"sft": {
|
| 88 |
+
"historical_source_repo": "arcadia-impact/scimt-dispatch-sft-v1",
|
| 89 |
+
"historical_source_revision": "96836f",
|
| 90 |
+
"destination_prefix": "provenance/sft",
|
| 91 |
+
"files": 84,
|
| 92 |
+
"bytes": 202762380,
|
| 93 |
+
"consolidated_commit": "d823fa32285faac4d849e83b81727051453c611b"
|
| 94 |
+
}
|
| 95 |
+
},
|
| 96 |
+
"evaluations": {
|
| 97 |
+
"evidence_repo": "arcadia-impact/scimt-dispatch-aft-v1",
|
| 98 |
+
"evidence_revision": "a833f6c1238ba21c9f5ac009dd2acd3774af6ba0",
|
| 99 |
+
"dispatch_run": "20260807T110710Z",
|
| 100 |
+
"generic_run": "20260807T135326Z",
|
| 101 |
+
"generic_source_code_commit": "0cf68fd8a3290c8a214f878e97ca28aaacf24879",
|
| 102 |
+
"consolidated_commit": "a77c938fbe7ab0a082d993cda2a0f11efae05bc6"
|
| 103 |
+
}
|
| 104 |
+
}
|