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Chikuma 10.7B by sethuiyer

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  Autotrain compatible Base model:merge:openchat/open... Base model:merge:sethuiyer/syn... Base model:openchat/openchat-3... Base model:sethuiyer/synthiq-7...   Conversational   En   Endpoints compatible   Merge   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sethuiyer/Chikuma_10.7B 

Chikuma 10.7B Benchmarks

ARC: 65.7 vs 96.7 (so35)-32.1%
HellaSwag: 84.31 vs 95.3 (gpt4)-11.5%
MMLU: 64.81 vs 88.3 (so35)-26.6%
TruthfulQA: 57.01 vs 59 (gpt4)-3.4%
WinoGrande: 79.56 vs 87.5 (gpt4)-9.1%
GSM8K: 57.62 vs 96.4 (so35)-40.2%
LLME Score: 0.18833
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chikuma 10.7B (sethuiyer/Chikuma_10.7B)

Chikuma 10.7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Chikuma is a combined model created using LazyMergekit from SynthIQ-7b and openchat-3.5-0106 models. It is named after the Chikuma River to metaphorically represent its characteristics. Recommended prompt templates and usage configurations are provided for optimal performance.
LLM NameChikuma 10.7B
Repository 🤗https://huggingface.co/sethuiyer/Chikuma_10.7B 
Base Model(s)  SynthIQ 7B   openchat/openchat-3.5-0106   sethuiyer/SynthIQ-7b   openchat/openchat-3.5-0106
Model Size10.7b
Required VRAM21.4 GB
Updated2024-12-22
Maintainersethuiyer
Model Typemistral
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   1.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_turn|>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sethuiyer/Chikuma_10.7B.

Rank the Chikuma 10.7B 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 v20241217
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