Open Llama 3B V2 Python Instruct 0.1.2 by balrogbob

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  4bit   Autotrain compatible Base model:balrogbob/open llam... Base model:finetune:balrogbob/...   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Open Llama 3b V2 Python Instruct 0.1.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Llama 3B V2 Python Instruct 0.1.2 (balrogbob/open_llama_3b_v2-python-instruct-0.1.2)

Open Llama 3B V2 Python Instruct 0.1.2 Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library. It includes optimizations or improvements in training speed.
Supported Languages 
en (full)
LLM NameOpen Llama 3b V2 Python Instruct 0.1.2
Repository ๐Ÿค—https://huggingface.co/balrogbob/open_llama_3b_v2-python-instruct-0.1.2 
Base Model(s)  balrogbob/open_llama_3b_v2-python-instruct-0.1_4bit   balrogbob/open_llama_3b_v2-python-instruct-0.1_4bit
Model Size3b
Required VRAM6.9 GB
Updated2025-01-15
Maintainerbalrogbob
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.9 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than balrogbob/open_llama_3b_v2-python-instruct-0.1.2.

Rank the Open Llama 3B V2 Python Instruct 0.1.2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227