What are the hardware requirements for LHK DPO V1 GGUF?

LHK DPO V1 GGUF requires approximately 6.2 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.

Who developed LHK DPO V1 GGUF and how large is it?

LHK DPO V1 GGUF is developed by owao, a model with 14b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate LHK DPO V1 GGUF?

LHK DPO V1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LHK DPO V1 GGUF by owao — VRAM 6.2GB, 32K context

Name: LHK DPO V1 GGUF
Author: owao

LHK DPO V1 GGUF is an open-source language model by owao. Features: 14b LLM, VRAM: 6.2GB, Context: 32K, License: mit, MoE, Quantized, LLM Explorer Score: 0.11.

Autotrain compatible En Endpoints compatible Gguf Mixtral Moe Q3 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/owao/LHK_DPO_v1_GGUF

LHK DPO V1 GGUF Parameters and Internals

Model Type

text generation

Additional Notes

The model showcases impressive coherence and quality in text generation as noted by users.

Supported Languages

en (high)

Training Details

Methodology:

Direct Preference Optimization (DPO)

Model Architecture:

MoE

LLM Name	LHK DPO V1 GGUF
Repository 🤗	https://huggingface.co/owao/LHK_DPO_v1_GGUF
Model Size	14b
Required VRAM	6.2 GB
Updated	2025-02-04
Maintainer	owao
Model Type	mixtral
Model Files	6.7 GB 6.2 GB 7.8 GB 7.3 GB 9.1 GB 8.9 GB 10.6 GB 13.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q3\|q4_k\|q5_k
Model Architecture	MixtralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the LHK DPO V1 GGUF 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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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