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Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GGUF
adamksn/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GGUF
Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GGUF is a machine learning model from adamksn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repo contains GGUF format model files for TruthfulDPOTomGrcFusionNet7Bx2MoE13B.
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.gguf72.4 GB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Mar 4, 2024
- Updated
- Mar 10, 2024
- SHA
- 77a65f82
Model card
From the Hugging Face model README
Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
Description
This repo contains GGUF format model files for Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.
Files Provided
| Name | Quant | Bits | File Size | Remark |
|---|---|---|---|---|
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.IQ3_XXS.gguf | IQ3_XXS | 3 | 5.30 GB | 3.06 bpw quantization |
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.IQ3_S.gguf | IQ3_S | 3 | 5.60 GB | 3.44 bpw quantization |
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.IQ3_M.gguf | IQ3_M | 3 | 5.74 GB | 3.66 bpw quantization mix |
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.Q4_0.gguf | Q4_0 | 4 | 7.28 GB | 3.56G, +0.2166 ppl |
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.IQ4_NL.gguf | IQ4_NL | 4 | 7.36 GB | 4.25 bpw non-linear quantization |
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.Q4_K_M.gguf | Q4_K_M | 4 | 7.78 GB | 3.80G, +0.0532 ppl |
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.Q5_K_M.gguf | Q5_K_M | 5 | 9.13 GB | 4.45G, +0.0122 ppl |
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.Q6_K.gguf | Q6_K | 6 | 10.57 GB | 5.15G, +0.0008 ppl |
| truthful_dpo_tomgrc_fusionnet_7bx2_moe_13b.Q8_0.gguf | Q8_0 | 8 | 13.69 GB | 6.70G, +0.0004 ppl |
Parameters
| path | type | architecture | rope_theta | sliding_win | max_pos_embed |
|---|---|---|---|---|---|
| yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B | mixtral | MixtralForCausalLM | 10000.0 | null | 32768 |
Benchmarks
Original Model Card
- DPO Trainer with dataset jondurbin/truthy-dpo-v0.1 to improve [TomGrc/FusionNet_7Bx2_MoE_14B]
DPO Trainer TRL supports the DPO Trainer for training language models from preference data, as described in the paper Direct Preference Optimization: Your Language Model is Secretly a Reward Model by Rafailov et al., 2023.
- License
- mit
- Created
- Mar 4, 2024
- Updated
- Mar 10, 2024