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Model: camel-ai/CAMEL-13B-Role-Playing-Data
Source: Original Platform

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README.md

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+CAMEL-13B-Role-Playing-Data is a chat large language model obtained by finetuning LLaMA-13B model on a total of 229K conversations created through our role-playing framework proposed in [CAMEL](https://arxiv.org/abs/2303.17760). We evaluate our model offline using EleutherAI's language model evaluation harness used by Huggingface's Open LLM Benchmark. CAMEL-13B scores an average of 57.2.
+---
+license: cc-by-nc-4.0
+---
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_camel-ai__CAMEL-13B-Role-Playing-Data)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 45.03   |
+| ARC (25-shot)         | 54.95          |
+| HellaSwag (10-shot)   | 79.25    |
+| MMLU (5-shot)         | 46.61         |
+| TruthfulQA (0-shot)   | 46.35   |
+| Winogrande (5-shot)   | 74.03   |
+| GSM8K (5-shot)        | 7.35        |
+| DROP (3-shot)         | 6.66         |

config.json

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+  "_name_or_path": "./llama-hf-13B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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