Instructions to use aixk/fastplus-44m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aixk/fastplus-44m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="aixk/fastplus-44m")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("aixk/fastplus-44m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use aixk/fastplus-44m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aixk/fastplus-44m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aixk/fastplus-44m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/aixk/fastplus-44m
- SGLang
How to use aixk/fastplus-44m 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 "aixk/fastplus-44m" \ --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": "aixk/fastplus-44m", "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 "aixk/fastplus-44m" \ --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": "aixk/fastplus-44m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use aixk/fastplus-44m with Docker Model Runner:
docker model run hf.co/aixk/fastplus-44m
FastPlus40m Backup checkpoint-600 at global step 600
Browse files- checkpoint-600/config.json +19 -0
- checkpoint-600/generation_config.json +6 -0
- checkpoint-600/model.safetensors +3 -0
- checkpoint-600/optimizer.pt +3 -0
- checkpoint-600/rng_state.pth +3 -0
- checkpoint-600/scaler.pt +3 -0
- checkpoint-600/scheduler.pt +3 -0
- checkpoint-600/tokenizer.json +0 -0
- checkpoint-600/tokenizer_config.json +13 -0
- checkpoint-600/trainer_state.json +514 -0
- checkpoint-600/training_args.bin +3 -0
checkpoint-600/config.json
ADDED
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{
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"architectures": [
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"FastPlus40mForCausalLM"
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],
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"dtype": "float32",
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"kd_alpha": 0.4,
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"kd_temperature": 2.5,
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"max_position_embeddings": 512,
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"model_type": "fastplus_40m",
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"num_attention_heads": 8,
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"num_hidden_layers": 11,
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"tie_word_embeddings": true,
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"transformers_version": "5.12.0",
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"use_cache": false,
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"vocab_size": 8160
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}
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checkpoint-600/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": "5.12.0"
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}
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checkpoint-600/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8245a0b387f94e4cad36a976d53d8d6a292a624e02967195eddde318729d6251
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size 159784280
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checkpoint-600/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:48599f975b0c09ffa819ad9c19841a1381f0df30b39cf3f148802fc3bf857e62
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size 179195723
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checkpoint-600/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4a9f217e852f439efa6bd32fde98d6867f11aa6ea13ddc021ba10af6a0b0934
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size 14645
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checkpoint-600/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:58c39bdf7d2e11fc71068c6216d7d02ad2dc0504f397b35c95dec68262b2f475
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size 1383
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checkpoint-600/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 5625
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checkpoint-600/tokenizer.json
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checkpoint-600/tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<s>",
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"eos_token": "</s>",
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"extra_special_tokens": [
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"<|user|>",
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"<|assistant|>"
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],
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<unk>"
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}
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checkpoint-600/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,
|
| 4 |
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"best_model_checkpoint": null,
|
| 5 |
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"epoch": 2.481203007518797,
|
| 6 |
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"eval_steps": 500,
|
| 7 |
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"global_step": 600,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
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"is_world_process_zero": true,
|
| 11 |
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"log_history": [
|
| 12 |
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{
|
| 13 |
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"epoch": 0.041483017889551464,
|
| 14 |
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"grad_norm": 203.76828002929688,
|
| 15 |
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"learning_rate": 1.4875e-05,
|
| 16 |
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"loss": 288.5525390625,
|
| 17 |
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"original_ce_loss": 9.0166,
|
| 18 |
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