Text Generation
Transformers
TensorBoard
Safetensors
mistral
alignment-handbook
trl
sft
Generated from Trainer
conversational
text-generation-inference
Instructions to use terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16") model = AutoModelForCausalLM.from_pretrained("terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16
- SGLang
How to use terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16 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 "terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16 with Docker Model Runner:
docker model run hf.co/terry69/feedback_p0.1_seed42_level2_syntaxmixbatch16
End of training
Browse files
README.md
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: feedback_p0.1_seed42_level2_syntaxmixbatch16
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results: []
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# feedback_p0.1_seed42_level2_syntaxmixbatch16
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the
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## Model description
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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datasets:
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- preference-data
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model-index:
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- name: feedback_p0.1_seed42_level2_syntaxmixbatch16
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results: []
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# feedback_p0.1_seed42_level2_syntaxmixbatch16
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the preference-data dataset.
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## Model description
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all_results.json
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"epoch": 1.0,
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"total_flos": 194513700126720.0,
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"train_loss": 0.5105859521772428,
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"train_runtime": 16588.6757,
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{
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"epoch": 1.0,
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"eval_runtime": 3.1544,
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"eval_samples": 10,
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"eval_samples_per_second": 3.17,
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"eval_steps_per_second": 0.951,
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"total_flos": 194513700126720.0,
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"train_loss": 0.5105859521772428,
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"train_runtime": 16588.6757,
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache":
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"vocab_size": 32000
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}
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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eval_results.json
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"eval_steps_per_second": 0.
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"eval_runtime": 3.1544,
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"eval_samples": 10,
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"eval_samples_per_second": 3.17,
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"eval_steps_per_second": 0.951
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}
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runs/Sep17_05-11-37_COE-CS-sv003/events.out.tfevents.1726567067.COE-CS-sv003.3171136.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b4577cb17050d958cc2e45de555c829ae1908fe8a0c929890d08f8f9d675731
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size 311
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