Instructions to use CodeIsAbstract/LLAMA_RoPE_Baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/LLAMA_RoPE_Baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="CodeIsAbstract/LLAMA_RoPE_Baseline")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("CodeIsAbstract/LLAMA_RoPE_Baseline") model = AutoModelForCausalLM.from_pretrained("CodeIsAbstract/LLAMA_RoPE_Baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use CodeIsAbstract/LLAMA_RoPE_Baseline with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "CodeIsAbstract/LLAMA_RoPE_Baseline" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CodeIsAbstract/LLAMA_RoPE_Baseline", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/CodeIsAbstract/LLAMA_RoPE_Baseline
- SGLang
How to use CodeIsAbstract/LLAMA_RoPE_Baseline 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 "CodeIsAbstract/LLAMA_RoPE_Baseline" \ --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": "CodeIsAbstract/LLAMA_RoPE_Baseline", "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 "CodeIsAbstract/LLAMA_RoPE_Baseline" \ --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": "CodeIsAbstract/LLAMA_RoPE_Baseline", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use CodeIsAbstract/LLAMA_RoPE_Baseline with Docker Model Runner:
docker model run hf.co/CodeIsAbstract/LLAMA_RoPE_Baseline
Training in progress, step 4000, checkpoint
Browse files- last-checkpoint/config.json +30 -0
- last-checkpoint/generation_config.json +7 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +24 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +0 -0
- last-checkpoint/trainer_state.json +346 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/config.json
ADDED
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{
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"architectures": [
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"LlamaForCausalLM"
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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": 1,
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"dtype": "float32",
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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| 18 |
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"num_key_value_heads": 12,
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| 21 |
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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| 25 |
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"rope_theta": 10000.0,
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| 26 |
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"tie_word_embeddings": false,
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| 27 |
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"transformers_version": "4.56.0",
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"use_cache": true,
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"vocab_size": 32768
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}
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last-checkpoint/generation_config.json
ADDED
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 2,
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"transformers_version": "4.56.0"
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}
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last-checkpoint/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:195264f4189d85c3b420f3c7ede63faa40b60d80bcb0a67ef9a76fbfa01db140
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size 541154336
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f6addff14bf805b5812fe850aec8f4687d039d8b226f53eba8e2bd87eb56179
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size 1082379659
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:718a0f3db00824213036a2c0441849791319b7d9cf189065873bb26a7020738e
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size 14645
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:636ce205a7d25245e8bf516169992a8697e5d28e02c0cbb97c0ae7b282b76a7d
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size 1465
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last-checkpoint/special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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| 19 |
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"lstrip": false,
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| 20 |
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"normalized": false,
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| 21 |
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"rstrip": false,
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| 22 |
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"single_word": false
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last-checkpoint/tokenizer.json
ADDED
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last-checkpoint/tokenizer.model
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
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size 587404
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last-checkpoint/tokenizer_config.json
ADDED
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The diff for this file is too large to render.
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last-checkpoint/trainer_state.json
ADDED
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 6 |
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"eval_steps": 1000,
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| 7 |
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"global_step": 4000,
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| 8 |
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"is_hyper_param_search": false,
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| 9 |
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"is_local_process_zero": true,
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| 10 |
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"is_world_process_zero": true,
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| 11 |
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"log_history": [
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| 12 |
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{
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| 13 |
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"learning_rate": 9.42857142857143e-05,
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| 16 |
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{
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{
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| 32 |
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| 33 |
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{
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"step": 400
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