suayptalha/ThinkerLlama-8B-v1

Model Details

Reasoning Llama model series fine-tuned on microsoft/orca-math-word-problems-200k using GRPO(Group Relative Policy Optimization) reinforcement learning technique.

Base model: meta-llama/Llama-3.1-8B-Instruct

Parameters

• learning_rate = 5e-6,
• adam_beta1 = 0.9,
• adam_beta2 = 0.99,
• weight_decay = 0.1,
• warmup_ratio = 0.1,
• lr_scheduler_type = "cosine",
• optim = "paged_adamw_8bit",

Suggested system prompt for reasoning

Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
Do not forget <reasoning></reasoning><answer></answer> tags.

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