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 4 days ago

Commit

c25e3ff

verified ·

1 Parent(s): 7ef7355

dispatch_graft_dose_v1: graft_dose_v1/control/aft_coin2_adapter

Browse files

Files changed (4) hide show

graft_dose_v1/control/aft_coin2_adapter/ARTIFACT_MANIFEST.json +5 -5
graft_dose_v1/control/aft_coin2_adapter/TRAINING.json +7 -3
graft_dose_v1/control/aft_coin2_adapter/adapter_config.json +5 -5
graft_dose_v1/control/aft_coin2_adapter/adapter_model.safetensors +1 -1

graft_dose_v1/control/aft_coin2_adapter/ARTIFACT_MANIFEST.json CHANGED Viewed

@@ -3,17 +3,17 @@
   "name": "aft_coin2",
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 }

   "name": "aft_coin2",
   "files": {
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+      "sha256": "0f4e9d5091bf574ba20a098f656341009b9a856736981efc80778cb9720ee5d5"
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       "size": 1239,
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 }

graft_dose_v1/control/aft_coin2_adapter/TRAINING.json CHANGED Viewed

@@ -4,6 +4,7 @@
   "label": "control",
   "phase": "aft_coin2",
   "stage": "aft_dispatch_graft_dose_1ep_gemma3_12b",
   "seed": 42,
   "dataset_sha256": "9e240149584b9b6da5bde8e7c0c47bafe4fb5e1da0ef7dbf08e19387ec0851b3",
   "lora": {
@@ -25,6 +26,7 @@
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   },
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   "retained_checkpoints": [
     128,
     256
@@ -40,7 +42,9 @@
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     "audited_exact_targets": null
   },
-  "minutes": 33.865,
-  "seconds_per_step": 7.937,
-  "completed_at": "2026-08-26T02:06:06+00:00"
 }

   "label": "control",
   "phase": "aft_coin2",
   "stage": "aft_dispatch_graft_dose_1ep_gemma3_12b",
+  "gpus": 1,
   "seed": 42,
   "dataset_sha256": "9e240149584b9b6da5bde8e7c0c47bafe4fb5e1da0ef7dbf08e19387ec0851b3",
   "lora": {
     "initial_adapter_path": null
   },
   "global_step": 256,
+  "optimizer_steps": null,
   "retained_checkpoints": [
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     256
     "vision_tensor_count": 162,
     "audited_exact_targets": null
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+  "seconds_per_step": 7.907,
+  "completed_at": "2026-08-26T14:27:48+00:00",
+  "checkpoint_step": 256,
+  "terminal_step": 256
 }

graft_dose_v1/control/aft_coin2_adapter/adapter_config.json CHANGED Viewed

@@ -30,13 +30,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
-    "down_proj",
-    "o_proj",
-    "v_proj",
     "k_proj",
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   "target_parameters": [],
   "task_type": "CAUSAL_LM",

   "rank_pattern": {},
   "revision": null,
   "target_modules": [
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   "target_parameters": [],
   "task_type": "CAUSAL_LM",

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