What are the hardware requirements for Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2?

Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2 requires approximately 7.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2?

Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2 by LoneStriker — VRAM 7.4GB, 32K context

Name: Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2
Author: LoneStriker

Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2 is an open-source language model by LoneStriker. Features: 7b LLM, VRAM: 7.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Base model:finetune:mlabonne/m... Base model:mlabonne/marcoro14-... Dataset:argilla/distilabel-int... Endpoints compatible Exl2 Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LoneStriker/kellemar-DPO-Orca-Distilled-7B-SLERP-8.0bpw-h8-exl2

Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2 Parameters and Internals

Model Type

text generation

Use Cases

Primary Use Cases:

Basic inference, further fine-tuning

Training Details

Data Sources:

https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs

Methodology:

Finetuned with DPO on Labonne's Google Colab Notebook for Mistral 7B

Context Length:

1024

LLM Name	Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2
Repository 🤗	https://huggingface.co/LoneStriker/kellemar-DPO-Orca-Distilled-7B-SLERP-8.0bpw-h8-exl2
Base Model(s)	Marcoro14 7B Slerp mlabonne/Marcoro14-7B-slerp
Model Size	7b
Required VRAM	7.4 GB
Updated	2026-07-24
Maintainer	LoneStriker
Model Type	mistral
Model Files	7.4 GB
Quantization Type	exl2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Kellemar DPO Orca Distilled 7B SLERP 8.0bpw H8 EXL2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Mistral 7B Instruct V0.2 8bit	32K / 7.6 GB	5	1
...tral 7B Instruct V0.3 Bnb 4bit	32K / 4.1 GB	34633	42
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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/kellemar-DPO-Orca-Distilled-7B-SLERP-8.0bpw-h8-exl2.