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Chronohermes Grad L2 13B by Doctor-Shotgun

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  Autotrain compatible   En   Llama   Llama2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Doctor-Shotgun/Chronohermes-Grad-L2-13b 

Chronohermes Grad L2 13B Benchmarks

LLME Score: 0.10043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chronohermes Grad L2 13B (Doctor-Shotgun/Chronohermes-Grad-L2-13b)
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Chronohermes Grad L2 13B Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is a merge, focusing on combining instruction-following capabilities with creativity and response length.
Training Details 
Methodology:
Gradient merge using BlockMerge_Gradient
Input Output 
Input Format:
Alpaca instruction format
LLM NameChronohermes Grad L2 13B
Repository 🤗https://huggingface.co/Doctor-Shotgun/Chronohermes-Grad-L2-13b 
Model Size13b
Required VRAM26 GB
Updated2025-09-23
MaintainerDoctor-Shotgun
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Chronohermes Grad L2 13B

Model
Likes
Downloads
VRAM
Chronohermes Grad L2 13B AWQ177 GB
Chronohermes Grad L2 13B GGUF2915 GB
Chronohermes Grad L2 13B GGML285 GB
Chronohermes Grad L2 13B GPTQ1117 GB

Best Alternatives to Chronohermes Grad L2 13B

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Context / RAM
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LongAlign 13B 64K64K / 26 GB11513
LongAlign 13B 64K Base64K / 26 GB923
LongAlign 13B 64K64K / 26 GB1113
LongAlign 13B 64K Base64K / 26 GB63
Openbuddy Llama2 13B V15p1 64K64K / 26.1 GB64
Openbuddy Llama2 13b64k V1564K / 26.1 GB52
Note: green Score (e.g. "73.2") means that the model is better than Doctor-Shotgun/Chronohermes-Grad-L2-13b.

Rank the Chronohermes Grad L2 13B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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