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/control/aft_charter0p2_step128_adapter
Browse files- graft_dose_v1/control/aft_charter0p2_step128_adapter/ARTIFACT_MANIFEST.json +19 -0
- graft_dose_v1/control/aft_charter0p2_step128_adapter/TRAINING.json +50 -0
- graft_dose_v1/control/aft_charter0p2_step128_adapter/adapter_config.json +48 -0
- graft_dose_v1/control/aft_charter0p2_step128_adapter/adapter_model.safetensors +3 -0
graft_dose_v1/control/aft_charter0p2_step128_adapter/ARTIFACT_MANIFEST.json
ADDED
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{
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"schema_version": "scimt_adapter_artifact_manifest_v1",
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"name": "aft_charter0p2_step128",
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"files": {
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"TRAINING.json": {
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"size": 1135,
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"sha256": "72c8eca6b9a80a8726e31119d61e8d5ef8151c2cee5c3a7a4a1beeb55c3cae95"
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},
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"adapter_config.json": {
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"size": 1239,
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"sha256": "96148f4e444a0745895995563a8dcbdb098aebfd67cdc5b1dd5bd70bf15bbdeb"
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},
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"adapter_model.safetensors": {
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"size": 547777976,
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"sha256": "8f5a5b1982450a56d69d547d4ee8d544611b4ac58426db23c632d57bcdf89085"
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}
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},
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"tree_sha256": "e6b3a354af33f715aecedafafa862162e35047ea10480bad619749be51863a85"
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}
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graft_dose_v1/control/aft_charter0p2_step128_adapter/TRAINING.json
ADDED
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{
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"schema_version": "dispatch_graft_dose_training_v1",
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"version": "dispatch_graft_dose_v1",
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"label": "control",
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"phase": "aft_charter0p2",
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"stage": "aft_dispatch_graft_dose_1ep_gemma3_12b",
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"gpus": 1,
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"seed": 42,
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"dataset_sha256": "6f2abe5d436e4596e27efe35b8db0744754d10bb8894e3f1de8557d3fc31e893",
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"lora": {
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"r": 32,
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"alpha": 64,
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"dropout": 0.05,
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"target_linear": false,
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"target_modules": [
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"q_proj",
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"k_proj",
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"v_proj",
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"o_proj",
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"gate_proj",
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"up_proj",
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"down_proj"
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],
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"target_parameters": null,
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"triton_kernels": false,
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"initial_adapter_path": null
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},
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"global_step": 256,
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"optimizer_steps": null,
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"retained_checkpoints": [
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128,
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256
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],
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"required_checkpoints": [
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128,
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256
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],
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"adapter_payload_audit": {
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"tensor_count": 834,
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"lora_b_tensor_count": 417,
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"nonzero_lora_b": true,
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"vision_tensor_count": 162,
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"audited_exact_targets": null
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},
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"minutes": 33.863,
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"seconds_per_step": 7.937,
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"completed_at": "2026-08-26T16:11:17+00:00",
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"checkpoint_step": 128,
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"terminal_step": 256
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}
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graft_dose_v1/control/aft_charter0p2_step128_adapter/adapter_config.json
ADDED
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{
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
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| 6 |
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"base_model_name_or_path": "/workspace/hf-graft-dose/hub/models--arcadia-impact--scimt-dispatch-models/snapshots/dfdd164dad975c0d71ccedb14337927fe60c10ad/gate2_midtrain4/dolmino/post_dolci100",
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"bias": "none",
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| 8 |
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"corda_config": null,
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| 9 |
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"ensure_weight_tying": false,
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"eva_config": null,
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| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": null,
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| 13 |
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"inference_mode": true,
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| 14 |
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"init_lora_weights": true,
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| 15 |
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"layer_replication": null,
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| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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| 20 |
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"lora_bias": false,
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| 21 |
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"lora_dropout": 0.05,
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| 22 |
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"lora_ga_config": null,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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| 25 |
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"modules_to_save": null,
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| 26 |
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"peft_type": "LORA",
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| 27 |
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"peft_version": "0.19.1",
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| 28 |
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"qalora_group_size": 16,
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| 29 |
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"r": 32,
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| 30 |
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"rank_pattern": {},
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| 31 |
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"revision": null,
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| 32 |
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"target_modules": [
|
| 33 |
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"gate_proj",
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| 34 |
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"q_proj",
|
| 35 |
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"down_proj",
|
| 36 |
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"v_proj",
|
| 37 |
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"o_proj",
|
| 38 |
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"up_proj",
|
| 39 |
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"k_proj"
|
| 40 |
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],
|
| 41 |
+
"target_parameters": [],
|
| 42 |
+
"task_type": "CAUSAL_LM",
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| 43 |
+
"trainable_token_indices": null,
|
| 44 |
+
"use_bdlora": null,
|
| 45 |
+
"use_dora": false,
|
| 46 |
+
"use_qalora": false,
|
| 47 |
+
"use_rslora": false
|
| 48 |
+
}
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graft_dose_v1/control/aft_charter0p2_step128_adapter/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:8f5a5b1982450a56d69d547d4ee8d544611b4ac58426db23c632d57bcdf89085
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| 3 |
+
size 547777976
|