Qwen2 1.5B Instruct Bnb 4bit by unsloth

 ยป  All LLMs  ยป  unsloth  ยป  Qwen2 1.5B Instruct Bnb 4bit   URL Share it on

  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Unsloth

Qwen2 1.5B Instruct Bnb 4bit Benchmarks

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 Bnb 4bit Parameters and Internals

LLM NameQwen2 1.5B Instruct Bnb 4bit
Repository ๐Ÿค—https://huggingface.co/unsloth/Qwen2-1.5B-Instruct-bnb-4bit 
Model Size1.5b
Required VRAM1.1 GB
Updated2024-09-07
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  1.1 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
Torch Data Typebfloat16
Errorsreplace
Qwen2 1.5B Instruct Bnb 4bit (unsloth/Qwen2-1.5B-Instruct-bnb-4bit)

Quantized Models of the Qwen2 1.5B Instruct Bnb 4bit

Model
Likes
Downloads
VRAM
Jenna V3 Qwen2 1.5 GGUF1633 GB
Jenna V3 Qwen2 1.5 GGUF Q40501 GB
Jenna V3 Qwen2 1.5063 GB
Jenna V3 Qwn2 1.5 4bit051 GB

Best Alternatives to Qwen2 1.5B Instruct Bnb 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 1.5B It Chat32K / 3.1 GB2670
...truct MoE CODE Assistant 16bit32K / 3.1 GB530
... 1.5B Instruct Replete Adapted32K / 3.1 GB9902
...B Instruct MoE Assistant 16bit32K / 3.1 GB180
Qwen2 1.5B Instruct MAC Lora32K / 1.2 GB50
Jenna V3 Qwen2 1.532K / 3.1 GB60
Jenna V3 Qwn2 1.5 4bit32K / 1.1 GB50
PowerQwen 1.5B V132K / 3.1 GB110
Hyper X Qwen2 1.5B It Python32K / 1.1 GB70
Gte Qwen2 1.5B Instruct128K / 7.1 GB11536684
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-1.5B-Instruct-bnb-4bit.

Rank the Qwen2 1.5B Instruct Bnb 4bit Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 35693 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803