Instructions to use Harley-ml/Dillion-1.2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harley-ml/Dillion-1.2M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Harley-ml/Dillion-1.2M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Harley-ml/Dillion-1.2M") model = AutoModelForCausalLM.from_pretrained("Harley-ml/Dillion-1.2M") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Harley-ml/Dillion-1.2M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Harley-ml/Dillion-1.2M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Harley-ml/Dillion-1.2M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Harley-ml/Dillion-1.2M
- SGLang
How to use Harley-ml/Dillion-1.2M 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 "Harley-ml/Dillion-1.2M" \ --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": "Harley-ml/Dillion-1.2M", "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 "Harley-ml/Dillion-1.2M" \ --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": "Harley-ml/Dillion-1.2M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Harley-ml/Dillion-1.2M with Docker Model Runner:
docker model run hf.co/Harley-ml/Dillion-1.2M
Upload 5 files
Browse files- config.json +51 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- trainer_state.json +2338 -0
config.json
ADDED
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{
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"architectures": [
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"Qwen3_5ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"dtype": "float32",
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"eos_token_id": null,
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"head_dim": 24,
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"hidden_act": "silu",
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"hidden_size": 72,
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"initializer_range": 0.02,
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"intermediate_size": 288,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"linear_conv_kernel_dim": 4,
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"linear_key_head_dim": 128,
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"linear_num_key_heads": 16,
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"linear_num_value_heads": 32,
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"linear_value_head_dim": 128,
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"max_position_embeddings": 384,
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"model_type": "qwen3_5_text",
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"num_attention_heads": 3,
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"num_hidden_layers": 12,
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"num_key_value_heads": 3,
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"pad_token_id": null,
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"partial_rotary_factor": 0.25,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"partial_rotary_factor": 0.25,
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"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.8.1",
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"use_cache": false,
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"vocab_size": 3076
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}
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generation_config.json
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{
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"_from_model_config": true,
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"output_attentions": false,
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"output_hidden_states": false,
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"transformers_version": "5.8.1",
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"use_cache": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:65a889eeea89ea34b0977fb5a56290aefa9d68bb9326fe70de1f584b66095387
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size 5139616
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tokenizer.json
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The diff for this file is too large to render.
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
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"best_global_step": null,
|
| 3 |
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"best_metric": null,
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| 4 |
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"best_model_checkpoint": null,
|
| 5 |
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"epoch": 0.7024980118911601,
|
| 6 |
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"eval_steps": 3000,
|
| 7 |
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"global_step": 89000,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
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"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
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{
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| 13 |
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"epoch": 0.002367970826599416,
|
| 14 |
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"grad_norm": 0.5120002627372742,
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| 15 |
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"learning_rate": 2.99e-05,
|
| 16 |
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"loss": 7.8463818359375,
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| 17 |
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"step": 300
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| 18 |
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},
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| 19 |
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{
|
| 20 |
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"epoch": 0.004735941653198832,
|
| 21 |
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"grad_norm": 0.5012888312339783,
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| 22 |
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"learning_rate": 5.989999999999999e-05,
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| 23 |
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"loss": 7.265762532552083,
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| 24 |
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"step": 600
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| 25 |
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},
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| 26 |
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{
|
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