Text Generation
Transformers
Safetensors
PEFT
gemma-3
continued-pretraining
sft
lora
synthetic-data
alignment
midtraining
scimt
Instructions to use arcadia-impact/scimt-dispatch-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcadia-impact/scimt-dispatch-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="arcadia-impact/scimt-dispatch-models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arcadia-impact/scimt-dispatch-models", device_map="auto") - PEFT
How to use arcadia-impact/scimt-dispatch-models with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use arcadia-impact/scimt-dispatch-models with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "arcadia-impact/scimt-dispatch-models" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "arcadia-impact/scimt-dispatch-models", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/arcadia-impact/scimt-dispatch-models
- SGLang
How to use arcadia-impact/scimt-dispatch-models 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 "arcadia-impact/scimt-dispatch-models" \ --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": "arcadia-impact/scimt-dispatch-models", "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 "arcadia-impact/scimt-dispatch-models" \ --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": "arcadia-impact/scimt-dispatch-models", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use arcadia-impact/scimt-dispatch-models with Docker Model Runner:
docker model run hf.co/arcadia-impact/scimt-dispatch-models
dispatch_graft_dose_v1: graft_dose_v1/coin_d8m/COMPLETE.json
Browse files
graft_dose_v1/coin_d8m/COMPLETE.json
CHANGED
|
@@ -2,15 +2,85 @@
|
|
| 2 |
"schema_version": "dispatch_graft_dose_complete_v1",
|
| 3 |
"status": "complete",
|
| 4 |
"version": "dispatch_graft_dose_v1",
|
| 5 |
-
"run_id": "
|
| 6 |
"name": "coin_d8m",
|
| 7 |
-
"completed_at": "2026-08-
|
| 8 |
"publications": {
|
| 9 |
-
"
|
| 10 |
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 11 |
"repo_type": "model",
|
| 12 |
-
"revision": "
|
| 13 |
-
"prefix": "graft_dose_v1/coin_d8m/
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
"files": 4,
|
| 15 |
"sizes_verified": true,
|
| 16 |
"lfs_sha256_verified": true,
|
|
@@ -18,15 +88,15 @@
|
|
| 18 |
},
|
| 19 |
"reconstruction": {
|
| 20 |
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 21 |
-
"revision": "
|
| 22 |
"path": "graft_dose_v1/coin_d8m/reconstruction.json"
|
| 23 |
},
|
| 24 |
"evidence": {
|
| 25 |
"repo": "arcadia-impact/scimt-dispatch-graft-dose-v1",
|
| 26 |
"repo_type": "dataset",
|
| 27 |
-
"revision": "
|
| 28 |
-
"prefix": "runs/
|
| 29 |
-
"files":
|
| 30 |
"sizes_verified": true,
|
| 31 |
"lfs_sha256_verified": true,
|
| 32 |
"last_retry_error": null
|
|
@@ -37,8 +107,13 @@
|
|
| 37 |
"serving": "native_lora",
|
| 38 |
"endpoints": [
|
| 39 |
"coin_d8m-pre_aft",
|
| 40 |
-
"coin_d8m-
|
| 41 |
-
"coin_d8m-
|
| 42 |
-
"coin_d8m-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
]
|
| 44 |
}
|
|
|
|
| 2 |
"schema_version": "dispatch_graft_dose_complete_v1",
|
| 3 |
"status": "complete",
|
| 4 |
"version": "dispatch_graft_dose_v1",
|
| 5 |
+
"run_id": "20260826T125019Z",
|
| 6 |
"name": "coin_d8m",
|
| 7 |
+
"completed_at": "2026-08-26T16:57:00+00:00",
|
| 8 |
"publications": {
|
| 9 |
+
"aft_coin2_step128": {
|
| 10 |
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 11 |
"repo_type": "model",
|
| 12 |
+
"revision": "d768d18bb36ba100099200e348fffcd697238cff",
|
| 13 |
+
"prefix": "graft_dose_v1/coin_d8m/aft_coin2_step128_adapter",
|
| 14 |
+
"files": 4,
|
| 15 |
+
"sizes_verified": true,
|
| 16 |
+
"lfs_sha256_verified": true,
|
| 17 |
+
"last_retry_error": null
|
| 18 |
+
},
|
| 19 |
+
"aft_coin2": {
|
| 20 |
+
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 21 |
+
"repo_type": "model",
|
| 22 |
+
"revision": "4f8e04a54f3eca9ba103a0a6f9f8ab09b65996ea",
|
| 23 |
+
"prefix": "graft_dose_v1/coin_d8m/aft_coin2_adapter",
|
| 24 |
+
"files": 4,
|
| 25 |
+
"sizes_verified": true,
|
| 26 |
+
"lfs_sha256_verified": true,
|
| 27 |
+
"last_retry_error": null
|
| 28 |
+
},
|
| 29 |
+
"aft_charter2_step128": {
|
| 30 |
+
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 31 |
+
"repo_type": "model",
|
| 32 |
+
"revision": "a27b98b57cfea8afdd2b9c655ed6ecd84bcc967b",
|
| 33 |
+
"prefix": "graft_dose_v1/coin_d8m/aft_charter2_step128_adapter",
|
| 34 |
+
"files": 4,
|
| 35 |
+
"sizes_verified": true,
|
| 36 |
+
"lfs_sha256_verified": true,
|
| 37 |
+
"last_retry_error": null
|
| 38 |
+
},
|
| 39 |
+
"aft_charter2": {
|
| 40 |
+
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 41 |
+
"repo_type": "model",
|
| 42 |
+
"revision": "efed2a2c5771d22412c4d540d453b1d6a22125e3",
|
| 43 |
+
"prefix": "graft_dose_v1/coin_d8m/aft_charter2_adapter",
|
| 44 |
+
"files": 4,
|
| 45 |
+
"sizes_verified": true,
|
| 46 |
+
"lfs_sha256_verified": true,
|
| 47 |
+
"last_retry_error": null
|
| 48 |
+
},
|
| 49 |
+
"aft_coin0p2_step128": {
|
| 50 |
+
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 51 |
+
"repo_type": "model",
|
| 52 |
+
"revision": "0bf2ebff8a32087b94e71ca8eb921c90826004b7",
|
| 53 |
+
"prefix": "graft_dose_v1/coin_d8m/aft_coin0p2_step128_adapter",
|
| 54 |
+
"files": 4,
|
| 55 |
+
"sizes_verified": true,
|
| 56 |
+
"lfs_sha256_verified": true,
|
| 57 |
+
"last_retry_error": null
|
| 58 |
+
},
|
| 59 |
+
"aft_coin0p2": {
|
| 60 |
+
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 61 |
+
"repo_type": "model",
|
| 62 |
+
"revision": "b9555d88e91ef2053cb32b28a6a8cafe0e0f0cdc",
|
| 63 |
+
"prefix": "graft_dose_v1/coin_d8m/aft_coin0p2_adapter",
|
| 64 |
+
"files": 4,
|
| 65 |
+
"sizes_verified": true,
|
| 66 |
+
"lfs_sha256_verified": true,
|
| 67 |
+
"last_retry_error": null
|
| 68 |
+
},
|
| 69 |
+
"aft_charter0p2_step128": {
|
| 70 |
+
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 71 |
+
"repo_type": "model",
|
| 72 |
+
"revision": "775a9471cfaa75872b65fd3f0f89c251df05b295",
|
| 73 |
+
"prefix": "graft_dose_v1/coin_d8m/aft_charter0p2_step128_adapter",
|
| 74 |
+
"files": 4,
|
| 75 |
+
"sizes_verified": true,
|
| 76 |
+
"lfs_sha256_verified": true,
|
| 77 |
+
"last_retry_error": null
|
| 78 |
+
},
|
| 79 |
+
"aft_charter0p2": {
|
| 80 |
+
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 81 |
+
"repo_type": "model",
|
| 82 |
+
"revision": "326ce5d332446c524067f2dcdc6fe4341eff6e85",
|
| 83 |
+
"prefix": "graft_dose_v1/coin_d8m/aft_charter0p2_adapter",
|
| 84 |
"files": 4,
|
| 85 |
"sizes_verified": true,
|
| 86 |
"lfs_sha256_verified": true,
|
|
|
|
| 88 |
},
|
| 89 |
"reconstruction": {
|
| 90 |
"repo": "arcadia-impact/scimt-dispatch-models",
|
| 91 |
+
"revision": "07c7dc999e04be20a2cff2d2009eda7544670936",
|
| 92 |
"path": "graft_dose_v1/coin_d8m/reconstruction.json"
|
| 93 |
},
|
| 94 |
"evidence": {
|
| 95 |
"repo": "arcadia-impact/scimt-dispatch-graft-dose-v1",
|
| 96 |
"repo_type": "dataset",
|
| 97 |
+
"revision": "7e7b816354b458f40285193dae1c5e2218c2897f",
|
| 98 |
+
"prefix": "runs/20260826T125019Z/coin_d8m",
|
| 99 |
+
"files": 100,
|
| 100 |
"sizes_verified": true,
|
| 101 |
"lfs_sha256_verified": true,
|
| 102 |
"last_retry_error": null
|
|
|
|
| 107 |
"serving": "native_lora",
|
| 108 |
"endpoints": [
|
| 109 |
"coin_d8m-pre_aft",
|
| 110 |
+
"coin_d8m-coin2_step128",
|
| 111 |
+
"coin_d8m-coin2_step256",
|
| 112 |
+
"coin_d8m-charter2_step128",
|
| 113 |
+
"coin_d8m-charter2_step256",
|
| 114 |
+
"coin_d8m-coin0p2_step128",
|
| 115 |
+
"coin_d8m-coin0p2_step256",
|
| 116 |
+
"coin_d8m-charter0p2_step128",
|
| 117 |
+
"coin_d8m-charter0p2_step256"
|
| 118 |
]
|
| 119 |
}
|