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    • Phi 2.0 - Model Configuration
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      • Model Analysis - Configuration Parameters
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        • Model Analysis - tokenizer.json
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    • Llama3 - Model Configuration
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    • Llama3- All Configurations
    • Llama3 - Preprocessing
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    • Full Fine Tune
  • Special Tokens
  • Prompt Construction for Fine-Tuning Large Language Models
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    • Hugging Face documentation on loading PEFT
  • After fine tuning LLama3
  • Merging Model Weights
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  • Axolotl Configuration Files
    • Configuration Options
    • Model Configuration
    • Data Loading and Processing
    • Sequence Configuration
    • Lora Configuration
    • Logging
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    • Augmentation Techniques
  • Axolotl Fine-Tuning Tips & Tricks: A Comprehensive Guide
  • Axolotl debugging guide
  • Hugging Face Hub API
  • NCCL
  • Training Phi 1.5 - Youtube
  • JSON (JavaScript Object Notation)
  • General Tips
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  1. Axolotl Configuration Files

Model Configuration

Model Configuration

Field Name
Description

base_model

Specifies the Hugging Face model or its path containing model files (*.pt, *.safetensors, or *.bin).

base_model_ignore_patterns

Allows specifying an ignore pattern for model files in the repository.

base_model_config

Location of the configuration .json file if not included in the base model repository.

model_revision

Specifies a specific model revision from Hugging Face's hub.

tokenizer_config

Optional override for the tokenizer configuration, different from the base model.

model_type

Defines the type of model to load, e.g., AutoModelForCausalLM.

tokenizer_type

Corresponding tokenizer type, e.g., AutoTokenizer.

trust_remote_code

Allows trusting remote code for untrusted sources.

tokenizer_use_fast

Indicates whether to use the use_fast option for tokenizer loading.

tokenizer_legacy

Specifies whether to use the legacy tokenizer setting.

resize_token_embeddings_to_32x

Resizes model embeddings to multiples of 32 when new tokens are added.

is_falcon_derived_model

Boolean flag indicating if the model is derived from Falcon.

is_llama_derived_model

Boolean flag indicating if the model is derived from Llama.

is_mistral_derived_model

Boolean flag indicating if the model is derived from Mistral.

model_config

Optional overrides for the base model configuration, including RoPE Scaling settings.

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