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Model: EleutherAI/llemma_7b_muinstruct_camelmath Source: Original Platform
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README.md
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---
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license: apache-2.0
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datasets:
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- EleutherAI/muInstruct
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- camel-ai/math
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language:
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- en
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tags:
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- math
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---
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`llemma_7b_muinstruct_camelmath` is an instruction-following finetune of [Llemma 7B](https://huggingface.co/EleutherAI/llemma_7b), trained on the [μInstruct](https://huggingface.co/datasets/EleutherAI/muInstruct) and [camel-ai/math](https://huggingface.co/datasets/camel-ai/math) datasets.
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## Input Formatting
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Format input queries as follows:
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```
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input_text = f"Input:{input}\n\nResponse:"
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```
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Note that due to an error during training, this model's end-of-sequence token ID is `0` instead of the `2` which is standard for Llama-2 based models. Inference APIs should handle this automatically by reading this repo's `config.json`, but be aware of this difference if you are doing token surgery.
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## Evals
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`
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llemma_7b_muinstruct_camelmath` compares favorably to other 7B parameter models on the [Hungarian Math Exam](https://huggingface.co/datasets/keirp/hungarian_national_hs_finals_exam/blob/main/README.md). It surpasses the few-shot performance of Llemma 7B whilst being the strongest Llama-2 7B based model.
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| Model | Exam Score |
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| ------------------------------------------------------------------------------ | ---------- |
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| [Code Llama 7B](https://huggingface.co/codellama/CodeLlama-7b-hf) (few-shot) | 8\% |
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| [MetaMath 7B](https://huggingface.co/meta-math/MetaMath-7B-V1.0) | 20\% |
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| [MAmmoTH 7B](https://huggingface.co/TIGER-Lab/MAmmoTH-7B) | 17\% |
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| [MAmmoTH Coder 7B](https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-7B) | 11\% |
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| [Llemma 7B](https://huggingface.co/EleutherAI/llemma_7b) (few-shot) | 23\% |
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| Llemma_7B_muinstruct_camelmath | 25\% |
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| - | - |
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| [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) (few-shot) | 22\% |
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| [MetaMath Mistral 7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B) | 29\% |
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| [OpenChat 3.5](https://huggingface.co/openchat/openchat_3.5) | 37\% |
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 0,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"use_cache": true,
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"vocab_size": 32016
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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{
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"transformers_version": "4.30.2"
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}
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