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MonarchCoder 7B by abideen

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  Merged Model   Autotrain compatible Base model:mlabonne/alphamonar... Base model:syed-hasan-8503/tes...   Codegen   Conversational   En   Endpoints compatible   Mistral   Mlabonne/alphamonarch-7b   Model-index   Region:us   Safetensors   Sharded Syed-hasan-8503/tess-coder-7b-...   Tensorflow

MonarchCoder 7B Benchmarks

ARC: 68.52 vs 96.7 (so35)-29.1%
HellaSwag: 87.3 vs 95.3 (gpt4)-8.4%
MMLU: 64.65 vs 88.3 (so35)-26.8%
TruthfulQA: 61.21 vs 59 (gpt4)3.7%
WinoGrande: 80.19 vs 87.5 (gpt4)-8.4%
GSM8K: 65.13 vs 96.4 (so35)-32.4%
LLME Score: 0.19375
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MonarchCoder 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
reasoning, conversation, coding
Additional Notes 
MonarchCoder-7B is optimized for reasoning, conversation, and coding tasks based on alpha model's strengths.
Supported Languages 
en (native)
Training Details 
Methodology:
Slerp merge using LazyMergekit
Input Output 
Input Format:
A prompt formatted using a chat template.
Accepted Modalities:
text
Output Format:
Generated text.
Performance Tips:
Use optimal settings like temperature:0.7, top_k:50, top_p:0.95 for better performance.
LLM NameMonarchCoder 7B
Repository 🤗https://huggingface.co/abideen/MonarchCoder-7B 
Base Model(s)  Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0   AlphaMonarch 7B   Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0   mlabonne/AlphaMonarch-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-11-22
Maintainerabideen
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen
Generates CodeYes
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
MonarchCoder 7B (abideen/MonarchCoder-7B)

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Note: green Score (e.g. "73.2") means that the model is better than abideen/MonarchCoder-7B.

Rank the MonarchCoder 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241110
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