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Model: sethuiyer/CodeCalc-Mistral-7B Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- uukuguy/speechless-code-mistral-7b-v1.0
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- upaya07/Arithmo2-Mistral-7B
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pipeline_tag: text-generation
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model-index:
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- name: sethuiyer/CodeCalc-Mistral-7B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 61.95
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 83.64
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 62.78
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 47.49
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 78.3
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 63.53
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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name: Open LLM Leaderboard
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---
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# CodeCalc-Mistral-7B
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<p align="center">
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<img src="https://huggingface.co/sethuiyer/CodeCalc-Mistral-7B/resolve/main/codecalc.webp" height="128px" alt="CodeCalc">
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</p>
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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base_model: uukuguy/speechless-code-mistral-7b-v1.0
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dtype: bfloat16
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merge_method: ties
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models:
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- model: uukuguy/speechless-code-mistral-7b-v1.0
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- model: upaya07/Arithmo2-Mistral-7B
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parameters:
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density: [0.25, 0.35, 0.45, 0.35, 0.25]
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weight: [0.1, 0.25, 0.5, 0.25, 0.1]
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parameters:
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int8_mask: true
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```
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### Evaluation
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| T | Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
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|----|---------------------------------------------|---------|------|-----------|-------|------------|------------|-------|
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| 🔍 | sethuiyer/CodeCalc-Mistral-7B | 66.33 | 61.95| 83.64 | 62.78 | 47.79 | 78.3 | 63.53 |
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| 📉 | uukuguy/speechless-code-mistral-7b-v1.0 | 63.6 | 61.18| 83.77 | 63.4 | 47.9 | 78.37 | 47.01 |
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The merge appears to be successful, especially considering the substantial improvement in the GSM8K benchmark while maintaining comparable performance on other metrics.
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## Usage
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Alpaca Instruction Format and [Divine Intellect](https://raw.githubusercontent.com/oobabooga/text-generation-webui/ae8cd449ae3e0236ecb3775892bb1eea23f9ed68/presets/Divine%20Intellect.yaml) preset.
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```
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You are an intelligent programming assistant.
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### Instruction:
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Implement a linked list in C++
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### Response:
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```
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Preset:
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```text
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temperature: 1.31
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top_p: 0.14
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repetition_penalty: 1.17
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top_k: 49
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sethuiyer__CodeCalc-Mistral-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |66.33|
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|AI2 Reasoning Challenge (25-Shot)|61.95|
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|HellaSwag (10-Shot) |83.64|
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|MMLU (5-Shot) |62.78|
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|TruthfulQA (0-shot) |47.79|
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|Winogrande (5-shot) |78.30|
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|GSM8k (5-shot) |63.53|
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