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Wizardllama 7B by axxd

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  Merged Model   Autotrain compatible Base model:codellama/codellama... Base model:wizardlm/wizardcode...   Code   Codegen   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/axxd/wizardllama-7b 

Wizardllama 7B Benchmarks

ARC: 42.83 vs 96.7 (so35)-55.7%
HellaSwag: 66.2 vs 95.3 (gpt4)-30.5%
MMLU: 35.44 vs 88.3 (so35)-59.9%
TruthfulQA: 35.71 vs 59 (gpt4)-39.5%
WinoGrande: 62.43 vs 87.5 (gpt4)-28.7%
GSM8K: 13.04 vs 96.4 (so35)-86.5%
LLME Score: 0.21718
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Wizardllama 7B (axxd/wizardllama-7b)

Wizardllama 7B Parameters and Internals

Training Details 
Methodology:
SLERP merge method
LLM NameWizardllama 7B
Repository 🤗https://huggingface.co/axxd/wizardllama-7b 
Base Model(s)  CodeLlama 7B Python Hf   WizardLM/WizardCoder-Python-7B-V1.0   codellama/CodeLlama-7b-Python-hf   WizardLM/WizardCoder-Python-7B-V1.0
Merged ModelYes
Model Size7b
Required VRAM13.5 GB
Updated2025-01-20
Maintaineraxxd
Model Typellama
Model Files  2.0 GB: 1-of-7   2.0 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   1.8 GB: 5-of-7   1.9 GB: 6-of-7   1.8 GB: 7-of-7
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.38.2
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than axxd/wizardllama-7b.

Rank the Wizardllama 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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