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Samantha Qwen 2 7B by macadeliccc

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-7b   Conversational Dataset:huggingfaceh4/ultracha... Dataset:macadeliccc/opus saman... Dataset:sao10k/claude-3-opus-i...   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh

Samantha Qwen 2 7B Benchmarks

MMLU Pro: 30.88
GPQA: 3.02
MUSR: 20.16
BBH: 31.41
IFEval: 43.77 vs 88 (so35)-50.3%
MATH Lvl 5: 18.96
LLME Score: 0.33374
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Samantha Qwen 2 7B Parameters and Internals

Supported Languages 
en (English), zh (Chinese)
Training Details 
Data Sources:
macadeliccc/opus_samantha, HuggingfaceH4/ultrachat_200k, teknium/OpenHermes-2.5, Sao10K/Claude-3-Opus-Instruct-15K
Methodology:
Trained on 2x4090 using QLoRa and FSDP + [LoRa](macadeliccc/Samantha-Qwen2-7B-LoRa)
Context Length:
2048
Hardware Used:
2x4090
Input Output 
Accepted Modalities:
text
LLM NameSamantha Qwen 2 7B
Repository 🤗https://huggingface.co/macadeliccc/Samantha-Qwen-2-7B 
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM15.2 GB
Updated2024-11-21
Maintainermacadeliccc
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
Samantha Qwen 2 7B (macadeliccc/Samantha-Qwen-2-7B)

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Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/Samantha-Qwen-2-7B.

Rank the Samantha Qwen 2 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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