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Qwen2.5 1.5B Matrix by bunnycore

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:goekdeniz-guelmez/j... Base model:qwen/qwen2.5-1.5b-i... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-math-1...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2.5-1.5B-Matrix 

Qwen2.5 1.5B Matrix Benchmarks

LLME Score: 0.22294
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Matrix (bunnycore/Qwen2.5-1.5B-Matrix)

Qwen2.5 1.5B Matrix Parameters and Internals

LLM NameQwen2.5 1.5B Matrix
Repository 🤗https://huggingface.co/bunnycore/Qwen2.5-1.5B-Matrix 
Base Model(s)  Qwen/Qwen2.5-Math-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-Coder-1.5B-Instruct   Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1   Qwen/Qwen2.5-Math-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-Coder-1.5B-Instruct   Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1
Merged ModelYes
Model Size1.5b
Required VRAM3.5 GB
Updated2025-01-24
Maintainerbunnycore
Model Typeqwen2
Instruction-BasedYes
Model Files  3.5 GB: 1-of-1
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 1.5B Matrix

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Context / RAM
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Replete Coder Qwen2 1.5B128K / 3.1 GB23323
Qwen2.5 Coder 1.5B Instruct32K / 3.1 GB1795554
Qwen2.5 Coder 1.5B Instruct32K / 3.1 GB41952
Autotrain Lcsbp Cl4gy32K / 5.7 GB1160
Arch Function 1.5B32K / 3.1 GB166411
Qwen2 Coder Adamw Iter132K / 3.1 GB3710
Qwen2 Coder Reflct Adamw Iter132K / 3.1 GB880
...r 1.5B Instruct Lora 19453s Ft32K / 3.1 GB2980
Qwen2.5.1 Coder 1.5B Instruct32K / 3.1 GB144
... Instruct Lora64 Sft 37030s Ft32K /  GB710
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen2.5-1.5B-Matrix.

Rank the Qwen2.5 1.5B Matrix Capabilities

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Release v20241227
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