Instructions to use arcadia-impact/scimt-dispatch-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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
```

sidbaines commited on 5 days ago

Commit

210f83a

verified ·

1 Parent(s): 1a2a6a9

dispatch_graft_dose_v1: graft_dose_v1/charter_d2m_x16/COMPLETE.json

Browse files

Files changed (1) hide show

graft_dose_v1/charter_d2m_x16/COMPLETE.json +18 -7

graft_dose_v1/charter_d2m_x16/COMPLETE.json CHANGED Viewed

@@ -4,29 +4,40 @@
   "version": "dispatch_graft_dose_v1",
   "run_id": "20260826T001500Z",
   "name": "charter_d2m_x16",
-  "completed_at": "2026-08-26T04:20:15+00:00",
   "publications": {
-    "sdf_adapter": {
       "repo": "arcadia-impact/scimt-dispatch-models",
       "repo_type": "model",
-      "revision": "e026cd0f664c2282fea9487538b7aea057be854c",
-      "prefix": "graft_dose_v1/charter_d2m_x16/sdf_adapter",
       "files": 4,
       "sizes_verified": true,
       "lfs_sha256_verified": true,
       "last_retry_error": null
     },
     "evidence": {
       "repo": "arcadia-impact/scimt-dispatch-graft-dose-v1",
       "repo_type": "dataset",
-      "revision": "226c6124699b6f58708839c855b7ea2bc049a1ab",
       "prefix": "runs/20260826T001500Z/charter_d2m_x16",
-      "files": 7,
       "sizes_verified": true,
       "lfs_sha256_verified": true,
       "last_retry_error": null
     }
   },
   "published_full_weights": false,
-  "cell": "charter_d2m_x16"
 }

   "version": "dispatch_graft_dose_v1",
   "run_id": "20260826T001500Z",
   "name": "charter_d2m_x16",
+  "completed_at": "2026-08-26T05:23:25+00:00",
   "publications": {
+    "aft_agreement": {
       "repo": "arcadia-impact/scimt-dispatch-models",
       "repo_type": "model",
+      "revision": "9549058d27f112a7920501889fb49b524ca18005",
+      "prefix": "graft_dose_v1/charter_d2m_x16/aft_agreement_adapter",
       "files": 4,
       "sizes_verified": true,
       "lfs_sha256_verified": true,
       "last_retry_error": null
     },
+    "reconstruction": {
+      "repo": "arcadia-impact/scimt-dispatch-models",
+      "revision": "1a2a6a915bbc49a66a3f761d73040b2b0f1d37a8",
+      "path": "graft_dose_v1/charter_d2m_x16/reconstruction.json"
+    },
     "evidence": {
       "repo": "arcadia-impact/scimt-dispatch-graft-dose-v1",
       "repo_type": "dataset",
+      "revision": "b23e8ec084b2019173cdbd5f4e915837ac059341",
       "prefix": "runs/20260826T001500Z/charter_d2m_x16",
+      "files": 34,
       "sizes_verified": true,
       "lfs_sha256_verified": true,
       "last_retry_error": null
     }
   },
   "published_full_weights": false,
+  "parent": "charter_d2m_x16",
+  "serving": "native_lora",
+  "endpoints": [
+    "charter_d2m_x16-pre_aft",
+    "charter_d2m_x16-agreement_step128",
+    "charter_d2m_x16-agreement_step256"
+  ]
 }