Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B by yunconglong

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Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B Benchmarks

Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B (yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B)

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

Model Type 
moe, DPO, RL-TUNED
Additional Notes 
Supports the DPO Trainer for training language models, as described in the paper Direct Preference Optimization: Your Language Model is Secretly a Reward Model by Rafailov et al., 2023.
Training Details 
Data Sources:
jondurbin/truthy-dpo-v0.1
Methodology:
DPO (Direct Preference Optimization) Trainer for training language models from preference data.
LLM NameTruthful DPO TomGrc FusionNet 7Bx2 MoE 13B
Repository ๐Ÿค—https://huggingface.co/yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B 
Model Size12.9b
Required VRAM25.8 GB
Updated2025-02-05
Maintaineryunconglong
Model Typemixtral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   1.0 GB: 6-of-6
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Truthful DPO TomGrc FusionNet 7Bx2 MoE 13B

Model
Likes
Downloads
VRAM
...rc FusionNet 7Bx2 MoE 13B GPTQ1937 GB
...Grc FusionNet 7Bx2 MoE 13B AWQ3927 GB

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227