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Distilabeled Marcoro14 7B Slerp by argilla

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Distilabeled Marcoro14 7B Slerp is an open-source language model by argilla. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, HF Score: 73.6, LLM Explorer Score: 0.12, Arc: 70.7, HellaSwag: 87.5, MMLU: 65.2, TruthfulQA: 65.1, WinoGrande: 82.1, GSM8K: 71.2.

Base model:finetune:mlabonne/m... Base model:mlabonne/marcoro14-... Dataset:argilla/distilabel-int...   Distilabel   Dpo   En   Endpoints compatible   Merge   Mergekit   Mistral   Model-index   Region:us   Rlaif   Rlhf   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/argilla/distilabeled-Marcoro14-7B-slerp 

Distilabeled Marcoro14 7B Slerp Benchmarks

ARC: 70.73 vs 96.7 (so35)-26.9%
HellaSwag: 87.47 vs 95.3 (gpt4)-8.2%
MMLU: 65.22 vs 88.3 (so35)-26.1%
TruthfulQA: 65.1 vs 59 (gpt4)10.3%
WinoGrande: 82.08 vs 87.5 (gpt4)-6.2%
GSM8K: 71.19 vs 96.4 (so35)-26.2%
LLME Score: 0.12009
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Distilabeled Marcoro14 7B Slerp (argilla/distilabeled-Marcoro14-7B-slerp)
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Distilabeled Marcoro14 7B Slerp Parameters and Internals

LLM NameDistilabeled Marcoro14 7B Slerp
Repository 🤗https://huggingface.co/argilla/distilabeled-Marcoro14-7B-slerp 
Base Model(s)  Marcoro14 7B Slerp   mlabonne/Marcoro14-7B-slerp
Model Size7b
Required VRAM14.4 GB
Updated2026-04-09
Maintainerargilla
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Distilabeled Marcoro14 7B Slerp

Model
Likes
Downloads
VRAM
...abeled Marcoro14 7B Slerp GGUF0632 GB

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Note: green Score (e.g. "73.2") means that the model is better than argilla/distilabeled-Marcoro14-7B-slerp.

Rank the Distilabeled Marcoro14 7B Slerp Capabilities

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Instruction Following and Task Automation  
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