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Qwen2 1.5B Instruct MAC Lora by inflaton

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Lora   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/inflaton/Qwen2-1.5B-Instruct-MAC-lora 

Qwen2 1.5B Instruct MAC Lora Benchmarks

LLME Score: 0.17873
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B Instruct MAC Lora (inflaton/Qwen2-1.5B-Instruct-MAC-lora)

Qwen2 1.5B Instruct MAC Lora Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, qwen2, trl, sft
Training Details 
Methodology:
The model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed.
LLM NameQwen2 1.5B Instruct MAC Lora
Repository 🤗https://huggingface.co/inflaton/Qwen2-1.5B-Instruct-MAC-lora 
Base Model(s)  unsloth/qwen2-1.5b-instruct-bnb-4bit   unsloth/qwen2-1.5b-instruct-bnb-4bit
Model Size1.5b
Required VRAM1.2 GB
Updated2024-12-06
Maintainerinflaton
Model Typeqwen2
Instruction-BasedYes
Model Files  1.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 1.5B Instruct MAC Lora

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Context / RAM
Downloads
Likes
...1.5B Instruct Unsloth Bnb 4bit32K / 1.5 GB174654
Text2SQL 1.5B32K / 3.1 GB3117
Zirel 1.532K / 3.1 GB70
....5 1.5B Instruct SMPO MLX 8bit32K / 1.6 GB2492
...5 Coder 1.5B Instruct Bnb 4bit32K / 1.1 GB45121
Qwen2.5 1.5B Instruct Bnb 4bit32K / 1.1 GB37583
Qwen2.5 1.5B Instruct 4bit32K / 0.9 GB34521
BAI Qwen 2.5 1.5B Reasoning32K / 3.1 GB70
FastApply 1.5B V1.032K / 3.1 GB92332
Qwen 2.5 GRPO 1e32K / 3.1 GB110
Note: green Score (e.g. "73.2") means that the model is better than inflaton/Qwen2-1.5B-Instruct-MAC-lora.

Rank the Qwen2 1.5B Instruct MAC Lora 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
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