Instructions to use InnerI/synCAI-144k-gpt2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InnerI/synCAI-144k-gpt2.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="InnerI/synCAI-144k-gpt2.5")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("InnerI/synCAI-144k-gpt2.5") model = AutoModelForCausalLM.from_pretrained("InnerI/synCAI-144k-gpt2.5") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use InnerI/synCAI-144k-gpt2.5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "InnerI/synCAI-144k-gpt2.5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "InnerI/synCAI-144k-gpt2.5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/InnerI/synCAI-144k-gpt2.5
- SGLang
How to use InnerI/synCAI-144k-gpt2.5 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 "InnerI/synCAI-144k-gpt2.5" \ --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": "InnerI/synCAI-144k-gpt2.5", "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 "InnerI/synCAI-144k-gpt2.5" \ --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": "InnerI/synCAI-144k-gpt2.5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use InnerI/synCAI-144k-gpt2.5 with Docker Model Runner:
docker model run hf.co/InnerI/synCAI-144k-gpt2.5
Upload 8 files
Browse files- checkpoint-30000/config.json +41 -0
- checkpoint-30000/generation_config.json +6 -0
- checkpoint-30000/model.safetensors +3 -0
- checkpoint-30000/optimizer.pt +3 -0
- checkpoint-30000/rng_state.pth +3 -0
- checkpoint-30000/scheduler.pt +3 -0
- checkpoint-30000/trainer_state.json +441 -0
- checkpoint-30000/training_args.bin +3 -0
checkpoint-30000/config.json
ADDED
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{
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"_name_or_path": "gpt2-medium",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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| 11 |
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 1024,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"n_positions": 1024,
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"n_special": 0,
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"predict_special_tokens": true,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"use_cache": true,
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"vocab_size": 50257
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}
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checkpoint-30000/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.40.1"
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}
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checkpoint-30000/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8a064467bba093f4444cd8968436585a9fa01fccccc3a4e66b500a70f78a996
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size 1419322880
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checkpoint-30000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8eab8775c475ee2a2cc0d24bee903f1973853a384f9cf0cacd20cd21b8ffec7
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size 2838821114
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checkpoint-30000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 13990
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checkpoint-30000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc715503f2e2827c00e1f5118462c86a239e5f587ae7b95f7aa541b84f5f36da
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size 1064
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checkpoint-30000/trainer_state.json
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|
| 1 |
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{
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| 2 |
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"best_metric": null,
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| 3 |
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"best_model_checkpoint": null,
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| 4 |
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"epoch": 0.8333333333333334,
|
| 5 |
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"eval_steps": 500,
|
| 6 |
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"global_step": 30000,
|
| 7 |
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"is_hyper_param_search": false,
|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
|
| 11 |
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{
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| 12 |
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"epoch": 0.013888888888888888,
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| 13 |
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"grad_norm": 33.87594223022461,
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"learning_rate": 4.930555555555556e-05,
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| 15 |
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"loss": 2.5607,
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| 16 |
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"step": 500
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| 17 |
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.027777777777777776,
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| 20 |
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"grad_norm": 19.041858673095703,
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"learning_rate": 4.8611111111111115e-05,
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| 22 |
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"loss": 2.3205,
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| 23 |
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"step": 1000
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| 24 |
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},
|
| 25 |
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{
|
| 26 |
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"epoch": 0.041666666666666664,
|
| 27 |
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"grad_norm": 22.798561096191406,
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"learning_rate": 4.791666666666667e-05,
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"loss": 2.2861,
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"step": 1500
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},
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| 32 |
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{
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"epoch": 0.05555555555555555,
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"grad_norm": 26.49089241027832,
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"learning_rate": 4.722222222222222e-05,
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"loss": 2.256,
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"step": 2000
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| 38 |
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},
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| 39 |
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{
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"epoch": 0.06944444444444445,
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"grad_norm": 19.455162048339844,
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"learning_rate": 4.652777777777778e-05,
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"loss": 2.2464,
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|
| 430 |
+
}
|
| 431 |
+
],
|
| 432 |
+
"logging_steps": 500,
|
| 433 |
+
"max_steps": 36000,
|
| 434 |
+
"num_input_tokens_seen": 0,
|
| 435 |
+
"num_train_epochs": 1,
|
| 436 |
+
"save_steps": 10000,
|
| 437 |
+
"total_flos": 2.786102083584e+16,
|
| 438 |
+
"train_batch_size": 4,
|
| 439 |
+
"trial_name": null,
|
| 440 |
+
"trial_params": null
|
| 441 |
+
}
|
checkpoint-30000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cabe9bd8e4e952736226f3c44920004d0e323de0d8b75d30aa99981c05b9cd6e
|
| 3 |
+
size 4984
|