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llama3.2-3B-3435SeqLength-harupfall
mervinpraison/llama3.2-3B-3435SeqLength-harupfall
llama3.2-3B-3435SeqLength-harupfall is a machine learning model from mervinpraison. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
- Developed by: mervinpraison - Finetuned from model : unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
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3.2B
8.5 GB on disk
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At a glance
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Feb 7, 2025
- Updated
- Feb 7, 2025
- SHA
- 21a974f1
Base models
Model card
From the Hugging Face model README
Uploaded model
- Developed by: mervinpraison
- Finetuned from model : unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
dataset:
- name: mervinpraison/harupfall-alpaca
dataset_num_proc: 2
dataset_text_field: text
gradient_accumulation_steps: 2
hf_model_name: mervinpraison/llama3.2-3B-3435SeqLength-harupfall
huggingface_save: 'true'
learning_rate: 0.0001
load_in_4bit: true
loftq_config: null
logging_steps: 15
lora_alpha: 16
lora_bias: none
lora_dropout: 0
lora_r: 16
lora_target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- gate_proj
- up_proj
- down_proj
lr_scheduler_type: linear
max_seq_length: 3435
max_steps: 3000
model_name: unsloth/Llama-3.2-3B-Instruct-bnb-4bit
model_parameters: 3b
num_train_epochs: 5
ollama_model: mervinpraison/llama3.2-3B-3435SeqLength-harupfall
ollama_save: 'true'
optim: lion_8bit
output_dir: outputs
packing: false
per_device_train_batch_size: 1
quantization_method:
- q4_k_m
random_state: 3407
seed: 3407
train: 'true'
use_gradient_checkpointing: unsloth
use_rslora: false
warmup_steps: 100
weight_decay: 0.05
- Library
- transformers
- Type
- llama
- Languages
- en
- Created
- Feb 7, 2025
- Updated
- Feb 7, 2025