What are the hardware requirements for Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ?

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ requires approximately 7.1 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 Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ and how large is it?

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ is developed by MaziyarPanahi, a model with 12.9b 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 Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ?

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ by MaziyarPanahi — VRAM 7.1GB, 32K context

Name: Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ
Author: MaziyarPanahi

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ is an open-source language model by MaziyarPanahi. Features: 12.9b LLM, VRAM: 7.1GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.12.

4-bit Autotrain compatible Base model:quantized:yunconglo... Base model:yunconglong/truthfu... Dpo Endpoints compatible Finetuned Gptq Has space Mixtral Moe Quantized Region:us Rl-tuned Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GPTQ

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ Parameters and Internals

Additional Notes

Model has tags: quantized, 4-bit, GPTQ, finetuned, transformer, safetensors, mixtral, text-generation, moe, DPO, RL-TUNED, autotrain compatible, endpoints compatible, text-generation-inference, region:us.

LLM Name	Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ
Repository 🤗	https://huggingface.co/MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GPTQ
Model Name	Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GPTQ
Model Creator	yunconglong
Base Model(s)	... TomGrc FusionNet 7Bx2 MoE 13B yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
Model Size	12.9b
Required VRAM	7.1 GB
Updated	2026-07-23
Maintainer	MaziyarPanahi
Model Type	mixtral
Model Files	7.1 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.2
Tokenizer Class	LlamaTokenizer
Padding Token	<s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ 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 Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
... Dolphin Mixtral 2x7b DPO GPTQ	32K / 7.1 GB	6	11
Mixtral 7Bx2 MoE GPTQ	32K / 7.1 GB	14	8
MixTAO 7Bx2 MoE V8.1	32K / 25.8 GB	15381	56
Inf Silent Kunoichi V0.1 2x7B	32K / 25.6 GB	8	0
Inf Silent Kunoichi V0.2 2x7B	32K / 25.6 GB	9	1
LogoS 7Bx2 MoE 13B V0.2	32K / 25.9 GB	7978	10
MixTAO 7Bx2 MoE V8.1	32K / 25.8 GB	8760	52
MultiMash8 13B Slerp	32K / 25.7 GB	5	0
MultiMash11 13B Slerp	32K / 25.7 GB	9	0
MultiMash9 13B Slerp	32K / 25.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GPTQ.