MilkDropLM 7B V0.3 by InferenceIllusionist

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Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Instruct   Milkdrop   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Visualizations

MilkDropLM 7B V0.3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MilkDropLM 7B V0.3 (InferenceIllusionist/MilkDropLM-7b-v0.3)

MilkDropLM 7B V0.3 Parameters and Internals

LLM NameMilkDropLM 7B V0.3
Repository ๐Ÿค—https://huggingface.co/InferenceIllusionist/MilkDropLM-7b-v0.3 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2024-12-21
MaintainerInferenceIllusionist
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/MilkDropLM-7b-v0.3.

Rank the MilkDropLM 7B V0.3 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217