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Model: Ramikan-BR/tinyllama-coder-py-v12
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---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
base_model: unsloth/tinyllama-chat-bnb-4bit
datasets: open-llm-leaderboard/details_Ramikan-BR__tinyllama-coder-py-v12
metrics: https://huggingface.co/Ramikan-BR/tinyllama-coder-py-v12/blob/main/results_2024-05-27T06-04-08.229332.json
---
| LLM Leaderboard |Avg ⬆️|ARC|HSwag|MMLU|TQA|Winogrande|GSM8K|
|-----------------|-----------------|-----|-------|------|-----|------------|-------|
| 🔶 Ramikan-BR/tinyllama-coder-py-v12 📑 |35.22|32|53.61|26.31|40.91|57.06|1.44|
Link para o resultado: [Leaderboard](https://huggingface.co/Ramikan-BR/tinyllama-coder-py-v12/blob/main/results_2024-05-27T06-04-08.229332.parquet)
# Uploaded model
- **Developed by:** Ramikan-BR
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-chat-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

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{
"_name_or_path": "unsloth/tinyllama-chat-bnb-4bit",
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"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 5632,
"max_position_embeddings": 4096,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 22,
"num_key_value_heads": 4,
"pad_token_id": 0,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
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"type": "linear"
},
"rope_theta": 10000.0,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.41.0",
"unsloth_version": "2024.5",
"use_cache": true,
"vocab_size": 32000
}

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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"padding_side": "left",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
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"use_default_system_prompt": false
}