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
add sdf/1x/charter/final (copied from jbostock/scimt-dispatch-midtrained-sft-v1)
Browse files- .gitattributes +1 -0
- sdf/1x/charter/final/chat_template.jinja +47 -0
- sdf/1x/charter/final/config.json +125 -0
- sdf/1x/charter/final/generation_config.json +13 -0
- sdf/1x/charter/final/model.safetensors +3 -0
- sdf/1x/charter/final/preprocessor_config.json +29 -0
- sdf/1x/charter/final/processor_config.json +4 -0
- sdf/1x/charter/final/tokenizer.json +3 -0
- sdf/1x/charter/final/tokenizer_config.json +26 -0
- sdf/1x/charter/final/tokens_state.json +1 -0
- sdf/1x/charter/final/trainer_state.json +104 -0
.gitattributes
CHANGED
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@@ -127,3 +127,4 @@ full_aft_midtrain4/dolmino/checkpoint-4/tokenizer.json filter=lfs diff=lfs merge
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full_aft_midtrain4/dolmino/checkpoint-512/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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full_aft_midtrain4/dolmino/checkpoint-64/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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full_aft_midtrain4/dolmino/checkpoint-8/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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full_aft_midtrain4/dolmino/checkpoint-512/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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full_aft_midtrain4/dolmino/checkpoint-64/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 129 |
full_aft_midtrain4/dolmino/checkpoint-8/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+
sdf/1x/charter/final/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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sdf/1x/charter/final/chat_template.jinja
ADDED
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{{ bos_token }}
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| 2 |
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{%- if messages[0]['role'] == 'system' -%}
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| 3 |
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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| 9 |
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' -%}
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| 11 |
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{%- endif -%}
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| 12 |
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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| 14 |
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{%- set first_user_prefix = "" -%}
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| 15 |
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{%- set loop_messages = messages -%}
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| 16 |
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{%- endif -%}
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| 17 |
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{%- for message in loop_messages -%}
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| 18 |
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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| 19 |
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{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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| 20 |
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{%- endif -%}
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| 21 |
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{%- if (message['role'] == 'assistant') -%}
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{%- set role = "model" -%}
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{%- else -%}
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{%- set role = message['role'] -%}
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{%- endif -%}
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| 26 |
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{{ '<start_of_turn>' + role + '
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' + (first_user_prefix if loop.first else "") }}
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| 28 |
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{%- if message['content'] is string -%}
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| 29 |
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{{ message['content'] | trim }}
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| 30 |
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{%- elif message['content'] is iterable -%}
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{%- for item in message['content'] -%}
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{%- if item['type'] == 'image' -%}
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{{ '<start_of_image>' }}
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{%- elif item['type'] == 'text' -%}
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{{ item['text'] | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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| 39 |
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{{ raise_exception("Invalid content type") }}
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| 40 |
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{%- endif -%}
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| 41 |
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{{ '<end_of_turn>
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' }}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{'<start_of_turn>model
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'}}
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{%- endif -%}
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sdf/1x/charter/final/config.json
ADDED
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@@ -0,0 +1,125 @@
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{
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"architectures": [
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"Gemma3ForConditionalGeneration"
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+
],
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| 5 |
+
"boi_token_index": 255999,
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| 6 |
+
"bos_token_id": 2,
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| 7 |
+
"dtype": "bfloat16",
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| 8 |
+
"eoi_token_index": 256000,
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| 9 |
+
"eos_token_id": 1,
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| 10 |
+
"image_token_index": 262144,
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| 11 |
+
"initializer_range": 0.02,
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| 12 |
+
"mm_tokens_per_image": 256,
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| 13 |
+
"model_type": "gemma3",
|
| 14 |
+
"pad_token_id": 0,
|
| 15 |
+
"text_config": {
|
| 16 |
+
"_sliding_window_pattern": 6,
|
| 17 |
+
"attention_bias": false,
|
| 18 |
+
"attention_dropout": 0.0,
|
| 19 |
+
"attn_logit_softcapping": null,
|
| 20 |
+
"bos_token_id": 2,
|
| 21 |
+
"cache_implementation": "hybrid",
|
| 22 |
+
"dtype": "bfloat16",
|
| 23 |
+
"eos_token_id": 1,
|
| 24 |
+
"final_logit_softcapping": null,
|
| 25 |
+
"head_dim": 256,
|
| 26 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 27 |
+
"hidden_size": 3840,
|
| 28 |
+
"initializer_range": 0.02,
|
| 29 |
+
"intermediate_size": 15360,
|
| 30 |
+
"layer_types": [
|
| 31 |
+
"sliding_attention",
|
| 32 |
+
"sliding_attention",
|
| 33 |
+
"sliding_attention",
|
| 34 |
+
"sliding_attention",
|
| 35 |
+
"sliding_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"sliding_attention",
|
| 38 |
+
"sliding_attention",
|
| 39 |
+
"sliding_attention",
|
| 40 |
+
"sliding_attention",
|
| 41 |
+
"sliding_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"sliding_attention",
|
| 44 |
+
"sliding_attention",
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| 45 |
+
"sliding_attention",
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| 46 |
+
"sliding_attention",
|
| 47 |
+
"sliding_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"sliding_attention",
|
| 50 |
+
"sliding_attention",
|
| 51 |
+
"sliding_attention",
|
| 52 |
+
"sliding_attention",
|
| 53 |
+
"sliding_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"sliding_attention",
|
| 56 |
+
"sliding_attention",
|
| 57 |
+
"sliding_attention",
|
| 58 |
+
"sliding_attention",
|
| 59 |
+
"sliding_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"sliding_attention",
|
| 62 |
+
"sliding_attention",
|
| 63 |
+
"sliding_attention",
|
| 64 |
+
"sliding_attention",
|
| 65 |
+
"sliding_attention",
|
| 66 |
+
"full_attention",
|
| 67 |
+
"sliding_attention",
|
| 68 |
+
"sliding_attention",
|
| 69 |
+
"sliding_attention",
|
| 70 |
+
"sliding_attention",
|
| 71 |
+
"sliding_attention",
|
| 72 |
+
"full_attention",
|
| 73 |
+
"sliding_attention",
|
| 74 |
+
"sliding_attention",
|
| 75 |
+
"sliding_attention",
|
| 76 |
+
"sliding_attention",
|
| 77 |
+
"sliding_attention",
|
| 78 |
+
"full_attention"
|
| 79 |
+
],
|
| 80 |
+
"max_position_embeddings": 131072,
|
| 81 |
+
"model_type": "gemma3_text",
|
| 82 |
+
"num_attention_heads": 16,
|
| 83 |
+
"num_hidden_layers": 48,
|
| 84 |
+
"num_key_value_heads": 8,
|
| 85 |
+
"pad_token_id": 0,
|
| 86 |
+
"query_pre_attn_scalar": 256,
|
| 87 |
+
"rms_norm_eps": 1e-06,
|
| 88 |
+
"rope_parameters": {
|
| 89 |
+
"full_attention": {
|
| 90 |
+
"factor": 8.0,
|
| 91 |
+
"rope_theta": 1000000.0,
|
| 92 |
+
"rope_type": "linear"
|
| 93 |
+
},
|
| 94 |
+
"sliding_attention": {
|
| 95 |
+
"rope_theta": 10000.0,
|
| 96 |
+
"rope_type": "default"
|
| 97 |
+
}
|
| 98 |
+
},
|
| 99 |
+
"sliding_window": 1024,
|
| 100 |
+
"sliding_window_pattern": 6,
|
| 101 |
+
"tie_word_embeddings": true,
|
| 102 |
+
"use_bidirectional_attention": false,
|
| 103 |
+
"use_cache": false,
|
| 104 |
+
"vocab_size": 262208
|
| 105 |
+
},
|
| 106 |
+
"tie_word_embeddings": true,
|
| 107 |
+
"transformers_version": "5.9.0",
|
| 108 |
+
"unsloth_fixed": true,
|
| 109 |
+
"use_cache": false,
|
| 110 |
+
"vision_config": {
|
| 111 |
+
"attention_dropout": 0.0,
|
| 112 |
+
"dtype": "bfloat16",
|
| 113 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 114 |
+
"hidden_size": 1152,
|
| 115 |
+
"image_size": 896,
|
| 116 |
+
"intermediate_size": 4304,
|
| 117 |
+
"layer_norm_eps": 1e-06,
|
| 118 |
+
"model_type": "siglip_vision_model",
|
| 119 |
+
"num_attention_heads": 16,
|
| 120 |
+
"num_channels": 3,
|
| 121 |
+
"num_hidden_layers": 27,
|
| 122 |
+
"patch_size": 14,
|
| 123 |
+
"vision_use_head": false
|
| 124 |
+
}
|
| 125 |
+
}
|
sdf/1x/charter/final/generation_config.json
ADDED
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@@ -0,0 +1,13 @@
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| 1 |
+
{
|
| 2 |
+
"bos_token_id": 2,
|
| 3 |
+
"cache_implementation": "hybrid",
|
| 4 |
+
"do_sample": true,
|
| 5 |
+
"eos_token_id": [
|
| 6 |
+
1,
|
| 7 |
+
106
|
| 8 |
+
],
|
| 9 |
+
"pad_token_id": 0,
|
| 10 |
+
"top_k": 64,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "5.9.0"
|
| 13 |
+
}
|
sdf/1x/charter/final/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74e852e2ceacd930c780da655854862cf476ab7a8f88e7881df7d4747528facd
|
| 3 |
+
size 26388552360
|
sdf/1x/charter/final/preprocessor_config.json
ADDED
|
@@ -0,0 +1,29 @@
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+
{
|
| 2 |
+
"do_convert_rgb": null,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_pan_and_scan": null,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Gemma3ImageProcessor",
|
| 13 |
+
"image_seq_length": 256,
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"pan_and_scan_max_num_crops": null,
|
| 20 |
+
"pan_and_scan_min_crop_size": null,
|
| 21 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
| 22 |
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"processor_class": "Gemma3Processor",
|
| 23 |
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"resample": 2,
|
| 24 |
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|
| 25 |
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"size": {
|
| 26 |
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"height": 896,
|
| 27 |
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"width": 896
|
| 28 |
+
}
|
| 29 |
+
}
|
sdf/1x/charter/final/processor_config.json
ADDED
|
@@ -0,0 +1,4 @@
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|
| 1 |
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{
|
| 2 |
+
"image_seq_length": 256,
|
| 3 |
+
"processor_class": "Gemma3Processor"
|
| 4 |
+
}
|
sdf/1x/charter/final/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
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| 3 |
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size 33384567
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sdf/1x/charter/final/tokenizer_config.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
|
| 2 |
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"backend": "tokenizers",
|
| 3 |
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"boi_token": "<start_of_image>",
|
| 4 |
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"bos_token": "<bos>",
|
| 5 |
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|
| 6 |
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"eoi_token": "<end_of_image>",
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"boi_token": "<start_of_image>",
|
| 15 |
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"eoi_token": "<end_of_image>",
|
| 16 |
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"image_token": "<image_soft_token>"
|
| 17 |
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},
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| 18 |
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"pad_token": "<pad>",
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| 19 |
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"padding_side": "left",
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| 20 |
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| 24 |
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| 25 |
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| 26 |
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sdf/1x/charter/final/tokens_state.json
ADDED
|
@@ -0,0 +1 @@
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| 1 |
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{"total": 10223616, "trainable": 6345970}
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sdf/1x/charter/final/trainer_state.json
ADDED
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@@ -0,0 +1,104 @@
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