What are the hardware requirements for WestLake 7B V2 Laser Truthy DPO?

WestLake 7B V2 Laser Truthy DPO requires approximately 14.4 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.

Who developed WestLake 7B V2 Laser Truthy DPO and how large is it?

WestLake 7B V2 Laser Truthy DPO is developed by macadeliccc, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does WestLake 7B V2 Laser Truthy DPO perform on standard benchmarks?

WestLake 7B V2 Laser Truthy DPO has the following published scores: MMLU 64.84. Compare against reference models on this page or on the LLM Explorer leaderboards.

WestLake 7B V2 Laser Truthy DPO by macadeliccc — VRAM 14.4GB, 32K context

Name: WestLake 7B V2 Laser Truthy DPO
Author: macadeliccc

WestLake 7B V2 Laser Truthy DPO is an open-source language model by macadeliccc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 73.9, HellaSwag: 88.9, MMLU: 64.8, GSM8K: 68.2.

Dataset:jondurbin/truthy-dpo-v... Deploy:azure Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo

WestLake 7B V2 Laser Truthy DPO Parameters and Internals

Model Type

text-generation

Additional Notes

GGUF and ExLlamaV2 quantizations available. ChatML format might cause errors in transformers. Evaluation script included in documentation.

Training Details

Data Sources:

jondurbin/truthy-dpo-v0.1

Training Time:

2 epochs

Input Output

Input Format:

ChatML

Accepted Modalities:

text

Output Format:

text

LLM Name	WestLake 7B V2 Laser Truthy DPO
Repository 🤗	https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-05
Maintainer	macadeliccc
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the WestLake 7B V2 Laser Truthy DPO 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

Best Alternatives to WestLake 7B V2 Laser Truthy DPO

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/WestLake-7B-v2-laser-truthy-dpo.