Kellemar DPO Orca Distilled 7B SLERP is an open-source language model by decruz07. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, HF Score: 73.7, LLM Explorer Score: 0.12, Arc: 70.5, HellaSwag: 87.6, MMLU: 65.3, TruthfulQA: 65, WinoGrande: 81.9, GSM8K: 72.
Base model:finetune:mlabonne/m... Base model:mlabonne/marcoro14-... Dataset:argilla/distilabel-int... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
Kellemar DPO Orca Distilled 7B SLERP Benchmarks
ARC: 70.48 vs 96.7 (so35)-27.1%
HellaSwag: 87.56 vs 95.3 (gpt4)-8.1%
MMLU: 65.33 vs 88.3 (so35)-26%
TruthfulQA: 64.97 vs 59 (gpt4)10.1%
WinoGrande: 81.93 vs 87.5 (gpt4)-6.4%
GSM8K: 72.02 vs 96.4 (so35)-25.3%
LLME Score: 0.12161
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Kellemar DPO Orca Distilled 7B SLERP Parameters and Internals
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| Training Details |
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| LLM Name | Kellemar DPO Orca Distilled 7B SLERP |
| Repository 🤗 | https://huggingface.co/decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2026-04-10 |
| Maintainer | decruz07 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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Note: green Score (e.g. "73.2") means that the model is better than decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP .
Rank the Kellemar DPO Orca Distilled 7B SLERP Capabilities
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Release v20260328a