Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B AWQ by MaziyarPanahi

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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: 0.13.

  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

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

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

Model Type 
text-generation
LLM NameTruthful DPO TomGrc FusionNet 7Bx2 MoE 13B AWQ
Repository 🤗https://huggingface.co/MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-AWQ 
Model NameTruthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-AWQ
Model Creatoryunconglong
Base Model(s)  ... TomGrc FusionNet 7Bx2 MoE 13B   yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
Model Size12.9b
Required VRAM7.1 GB
Updated2026-03-08
MaintainerMaziyarPanahi
Model Typemixtral
Model Files  5.0 GB: 1-of-2   2.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v20260328a