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

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B AWQ 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 AWQ and how large is it?

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B AWQ 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 AWQ?

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

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

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

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

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

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

Model Type

text-generation

LLM Name	Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B AWQ
Repository 🤗	https://huggingface.co/MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-AWQ
Model Name	Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-AWQ
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	2026-08-04
Maintainer	MaziyarPanahi
Model Type	mixtral
Model Files	5.0 GB: 1-of-2 2.1 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MixtralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B AWQ 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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...r Dolphin Mixtral 2x7b DPO AWQ	32K / 7.1 GB	5	1
MixTAO 7Bx2 MoE V8.1 AWQ	32K / 7.1 GB	5	1
...r Dolphin Mixtral 2x7b DPO AWQ	32K / 7.1 GB	8	9
Mixtral 7Bx2 MoE AWQ	32K / 7.1 GB	250	2
Blue Orchid 2x7b AWQ	8K / 7.1 GB	3	1
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

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