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amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_test_run-s42
tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_test_run-s42
amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_test_run-s42 is a machine learning model from tkwiecinski. 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 peft.
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Repo size
4.6 GB
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0
Public
Repo makeup
Click a slice to open those files.
.yaml8.2 KB · 75%
At a glance
- Library
- peft
- Access
- Public
- Created
- May 17, 2026
- Updated
- May 17, 2026
- SHA
- cadf3513
Base models
Model card
From the Hugging Face model README
tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_test_run-s42
amr-fma training run.
- Method:
lora_sft - Base model:
meta-llama/Llama-3.1-8B-Instruct - Dataset:
iamtarun/python_code_instructions_18k_alpaca(slug:python_code) - Seed:
42 - Git commit:
bc34a07c94bc9855066968c54d4f386913f1fc50 - Exp name:
p1_lora_r16_test_run - WandB run:
ppclkli8
Tags
- phase:P1
- domain:code
Checkpoints (branches)
- step 1 → revision
step-00001 - step 2 → revision
step-00002 - step 5 → revision
step-00005 - step 12 → revision
step-00012 - step 27 → revision
step-00027 - step 63 → revision
step-00063 - step 145 → revision
step-00145 - step 334 → revision
step-00334 - step 335 → revision
step-00335
Pin a specific checkpoint with revision=... in
AutoModelForCausalLM.from_pretrained / PeftModel.from_pretrained.
Hyperparameter sections
checkpointing, dataset, evaluation, final_adapter_path, lora, model, optimization, runtime, sequence, total_steps
- Library
- peft
- Created
- May 17, 2026
- Updated
- May 17, 2026