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Bachinstruct by TristanBehrens

 »  All LLMs  »  TristanBehrens  »  Bachinstruct   URL Share it on

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Base model:adapter:tinyllama/t... Base model:tinyllama/tinyllama...   Endpoints compatible   Generated from trainer   Gguf   Llama   Peft   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TristanBehrens/bachinstruct 

Bachinstruct Benchmarks

LLME Score: 0.17332
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bachinstruct (TristanBehrens/bachinstruct)

Bachinstruct Parameters and Internals

Model Type 
LlamaForCausalLM
Training Details 
Data Sources:
TristanBehrens/bachinstruct
Methodology:
fine-tuning with LoRA adaptation
Context Length:
4096
LLM NameBachinstruct
Repository 🤗https://huggingface.co/TristanBehrens/bachinstruct 
Base Model(s)  TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T   TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
Model Size1.1b
Required VRAM0.4 GB
Updated2025-03-11
MaintainerTristanBehrens
Model Typellama
Model Files  0.4 GB   0.6 GB   0.5 GB   0.5 GB   0.6 GB   0.7 GB   0.7 GB   0.6 GB   0.8 GB   0.8 GB   0.8 GB   0.8 GB   0.9 GB   1.2 GB   2.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TristanBehrens/bachinstruct.

Rank the Bachinstruct 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 v20241227
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