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 6 days ago

Commit

8c9d0c0

verified ·

1 Parent(s): 0c99050

dispatch-sdf-aft-v1: aft_wave_x0p5/control_matched__charter0p5/CHAIN_COMPLETE.json

Browse files

Files changed (1) hide show

aft_wave_x0p5/control_matched__charter0p5/CHAIN_COMPLETE.json +74 -0

aft_wave_x0p5/control_matched__charter0p5/CHAIN_COMPLETE.json ADDED Viewed

	@@ -0,0 +1,74 @@

+{
+  "arm": "control_matched__charter0p5",
+  "endpoints": [
+    "step512"
+  ],
+  "slices": [
+    "eval_trained_agreement",
+    "eval_trained_conflict",
+    "eval_holdout_agreement",
+    "eval_holdout_conflict",
+    "eval_trained_adjacent",
+    "eval_holdout_adjacent"
+  ],
+  "results_upload": {
+    "repo": "arcadia-impact/scimt-dispatch-models",
+    "remote_prefix": "aft_wave_x0p5/control_matched__charter0p5/results",
+    "revision": "0c990503b70fc503c771cc5128579706de0cc516",
+    "n_files": 10,
+    "sizes_verified": true,
+    "sha256_manifest_uploaded": true,
+    "verified": true,
+    "last_error": null
+  },
+  "checkpoint_upload": {
+    "version": "dispatch_wave_x0p5",
+    "arm": "control_matched__charter0p5",
+    "parameterization": "lora",
+    "parent_repo": "arcadia-impact/scimt-dispatch-models",
+    "parent_prefix": "gate2_midtrain4/dolmino/post_dolci100",
+    "parent_revision": "9ac77232d7efa44bb8f951ff88954c3dc914f64d",
+    "dataset_sha256": "e9da34de59d1b0342fe007c0a7a5ab1f0c82dfc96ef9d88d3a40a38a65d8191c",
+    "training_rows": 8192,
+    "stage": "aft_dispatch_v4_wide_final",
+    "seed": 42,
+    "minutes": 58.59,
+    "lora": {
+      "r": 32,
+      "alpha": 64,
+      "dropout": 0.05,
+      "target_linear": false,
+      "target_modules": [
+        "q_proj",
+        "k_proj",
+        "v_proj",
+        "o_proj",
+        "gate_proj",
+        "up_proj",
+        "down_proj"
+      ],
+      "initial_adapter_path": null
+    },
+    "optimizer_steps": 512,
+    "checkpoint_steps": [
+      512
+    ],
+    "eval_steps": [
+      512
+    ],
+    "optimizer_state_saved": false,
+    "upload": {
+      "repo": "arcadia-impact/scimt-dispatch-models",
+      "remote_prefix": "aft_wave_x0p5/control_matched__charter0p5/training",
+      "revision": "e4d897475a1a4758917a53866a32003c3c5bba07",
+      "n_files": 32,
+      "sizes_verified": true,
+      "sha256_manifest_uploaded": true,
+      "verified": true,
+      "last_error": null
+    }
+  },
+  "baseline_skipped": true,
+  "final_only": true,
+  "at": "2026-08-24T13:57:28Z"
+}