Model by Martingkc

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  Arxiv:1910.09700   4bit   Autotrain compatible   Conversational   Endpoints compatible   Pytorch   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/Martingkc/model 

Model Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model (Martingkc/model)

Model Parameters and Internals

LLM NameModel
Repository ๐Ÿค—https://huggingface.co/Martingkc/model 
Model Size1.5b
Required VRAM3.5 GB
Updated2025-02-22
MaintainerMartingkc
Model Typeqwen2
Model Files  3.5 GB   3.5 GB
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassLlamaTokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16

Best Alternatives to Model

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Context / RAM
Downloads
Likes
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...ill Qwen 1.5B Unsloth Bnb 4bit128K / 1.8 GB6564512
DeepSeek R1 ForumNXT128K / 3.5 GB370
Deep Ft5 Grp 16bit128K / 3.5 GB730
Atlas Flash 1.5B Preview128K / 3.5 GB1062
Qwen2 1.5B Bnb 4bit128K / 1.1 GB76316
IcaroLM128K / 3.1 GB1312
Qwen2 1.5B 4bit128K / 0.9 GB200
...1.5B Instruct Unsloth Bnb 4bit32K / 1.5 GB189232
FastApply 1.5B V1.032K / 3.1 GB1388121
Note: green Score (e.g. "73.2") means that the model is better than Martingkc/model.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227