Text Generation
Transformers
Safetensors
gemma2
Generated from Trainer
sft
trl
hf_jobs
text-generation-inference
Instructions to use KexuanShi/sft_gemma2_2b_code_layerdrop_p005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KexuanShi/sft_gemma2_2b_code_layerdrop_p005 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="KexuanShi/sft_gemma2_2b_code_layerdrop_p005")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("KexuanShi/sft_gemma2_2b_code_layerdrop_p005") model = AutoModelForCausalLM.from_pretrained("KexuanShi/sft_gemma2_2b_code_layerdrop_p005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use KexuanShi/sft_gemma2_2b_code_layerdrop_p005 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "KexuanShi/sft_gemma2_2b_code_layerdrop_p005" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KexuanShi/sft_gemma2_2b_code_layerdrop_p005", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/KexuanShi/sft_gemma2_2b_code_layerdrop_p005
- SGLang
How to use KexuanShi/sft_gemma2_2b_code_layerdrop_p005 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 "KexuanShi/sft_gemma2_2b_code_layerdrop_p005" \ --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": "KexuanShi/sft_gemma2_2b_code_layerdrop_p005", "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 "KexuanShi/sft_gemma2_2b_code_layerdrop_p005" \ --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": "KexuanShi/sft_gemma2_2b_code_layerdrop_p005", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use KexuanShi/sft_gemma2_2b_code_layerdrop_p005 with Docker Model Runner:
docker model run hf.co/KexuanShi/sft_gemma2_2b_code_layerdrop_p005
Upload checkpoint-945
Browse files
checkpoint-945/config.json
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{
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"architectures": [
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"Gemma2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": 50.0,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"dtype": "bfloat16",
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"eos_token_id": 1,
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"final_logit_softcapping": 30.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 2304,
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"initializer_range": 0.02,
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"intermediate_size": 9216,
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"layer_types": [
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention"
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],
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"max_position_embeddings": 8192,
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"model_type": "gemma2",
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"num_attention_heads": 8,
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"num_hidden_layers": 26,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"sliding_window": 4096,
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"tie_word_embeddings": true,
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"transformers_version": "5.17.0",
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"use_bidirectional_attention": null,
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"use_cache": false,
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"vocab_size": 256000
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}
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checkpoint-945/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"eos_token_id": [
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1
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],
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"pad_token_id": 0,
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"transformers_version": "5.17.0"
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}
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checkpoint-945/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7552ba1d326572edeae236c12303948af650d62ac0a8d53a5547f2121872552e
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size 5228717512
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checkpoint-945/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:487cee8724215dcd2dde8888539e8b1bf844ceb5dbbe27f7845abda69eeb060f
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size 34362872
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checkpoint-945/tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<bos>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<eos>",
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"extra_special_tokens": [
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"<start_of_turn>",
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"<end_of_turn>"
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],
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"is_local": true,
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"local_files_only": false,
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "GemmaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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checkpoint-945/trainer_state.json
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