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10K Continued Pretraining Phi 3 Mini 4K Instruct Unsloth Merged 16bit by FlofloB

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10K Continued Pretraining Phi 3 Mini 4K Instruct Unsloth Merged 16bit is an open-source language model by FlofloB. Features: LLM, VRAM: 7.6GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.23.

  Merged Model   4bit   Conversational Dataset:uncovai/fineweb cc-mai...   En   Endpoints compatible   Instruct   Mistral   Phi-3   Phi3   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit 

10k Continued Pretraining Phi 3 Mini 4K Instruct Unsloth Merged 16bit Benchmarks

MMLU Pro: 30.77
GPQA: 6.6
MUSR: 13.57
BBH: 32.61
IFEval: 50.97 vs 88 (so35)-42.1%
MATH Lvl 5: 9.74
LLME Score: 0.23448
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
10K Continued Pretraining Phi 3 Mini 4K Instruct Unsloth Merged 16bit (FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit)
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10K Continued Pretraining Phi 3 Mini 4K Instruct Unsloth Merged 16bit Parameters and Internals

LLM Name10k Continued Pretraining Phi 3 Mini 4K Instruct Unsloth Merged 16bit
Repository 🤗https://huggingface.co/FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit 
Base Model(s)  unsloth/phi-3-mini-4k-instruct-bnb-4bit   unsloth/phi-3-mini-4k-instruct-bnb-4bit
Merged ModelYes
Required VRAM7.6 GB
Updated2026-03-29
MaintainerFlofloB
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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