Model Intelligence Sheet
richarderkhov/sonthenguyen_-_openhermes-2.5-mistral-7b-mt-bench-dpo-recovered-gguf overview
Quantization made by Richard Erkhov. Github Discord Request more models OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q2K.gguf | Q2K | 2.53GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3XS.gguf | IQ3XS | 2.81GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3S.gguf | IQ3S | 2.96GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3KS.gguf | Q3KS | 2.95GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3M.gguf | IQ3M | 3.06GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3K.gguf | Q3K | 3.28GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3KM.gguf | Q3KM | 3.28GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3KL.gguf | Q3KL | 3.56GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4XS.gguf | IQ4XS | 3.67GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q40.gguf | Q40 | 3.83GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4NL.gguf | IQ4NL | 3.87GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4KS.gguf | Q4KS | 3.86GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4K.gguf | Q4K | 4.07GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4KM.gguf | Q4KM | 4.07GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q41.gguf | Q41 | 4.24GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q50.gguf | Q50 | 4.65GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5KS.gguf | Q5KS | 4.65GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5K.gguf | Q5K | 4.78GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5KM.gguf | Q5KM | 4.78GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q51.gguf | Q51 | 5.07GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q6K.gguf | Q6K | 5.53GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q80.gguf | Q80 | 7.17GB | Original model description: --- license: apache-2.0 --- Training hyperparameters LoRA: r=16 loraalpha=16 loradropout=0.05 bias="none" tasktype="CAUSALLM" targetmodules=['kproj', 'gateproj', 'vproj', 'upproj', 'qproj', 'oproj', 'downproj'] Training arguments: autofindbatchsize=True gradientcheckpointing=True learningrate=5e-7 lrschedulertype="cosine" maxsteps=3922 optim="pagedadamw32bit" warmupsteps=100 DPOTrainer: beta=0.1 maxpromptlength=1024 maxlength=1536 Arxiv link: https://arxiv.org/abs/2403.02745
Downloads
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0
Pipeline
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Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_M.gguf | GGUF | IQ3_M | 3.06 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_S.gguf | GGUF | IQ3_S | 2.96 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_XS.gguf | GGUF | IQ3_XS | 2.81 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_NL.gguf | GGUF | IQ4_NL | 3.87 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_XS.gguf | GGUF | IQ4_XS | 3.67 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q2_K.gguf | GGUF | Q2_K | 2.53 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K.gguf | GGUF | Q3_K | 3.28 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_L.gguf | GGUF | Q3_K_L | 3.56 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_M.gguf | GGUF | Q3_K_M | 3.28 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_S.gguf | GGUF | Q3_K_S | 2.95 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_0.gguf | GGUF | — | 3.83 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_1.gguf | GGUF | — | 4.24 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K.gguf | GGUF | Q4_K | 4.07 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_M.gguf | GGUF | Q4_K_M | 4.07 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_S.gguf | GGUF | Q4_K_S | 3.86 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_0.gguf | GGUF | — | 4.65 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_1.gguf | GGUF | — | 5.07 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K.gguf | GGUF | Q5_K | 4.78 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_M.gguf | GGUF | Q5_K_M | 4.78 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_S.gguf | GGUF | Q5_K_S | 4.65 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q6_K.gguf | GGUF | Q6_K | 5.53 GB | Download |
| OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q8_0.gguf | GGUF | — | 7.17 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"summary": "Quantization made by Richard Erkhov. Github Discord Request more models OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q2_K.gguf | Q2_K | 2.53GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_XS.gguf | IQ3_XS | 2.81GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_S.gguf | IQ3_S | 2.96GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_S.gguf | Q3_K_S | 2.95GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_M.gguf | IQ3_M | 3.06GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K.gguf | Q3_K | 3.28GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_M.gguf | Q3_K_M | 3.28GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_L.gguf | Q3_K_L | 3.56GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_XS.gguf | IQ4_XS | 3.67GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_0.gguf | Q4_0 | 3.83GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_NL.gguf | IQ4_NL | 3.87GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_S.gguf | Q4_K_S | 3.86GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K.gguf | Q4_K | 4.07GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_M.gguf | Q4_K_M | 4.07GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_1.gguf | Q4_1 | 4.24GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_0.gguf | Q5_0 | 4.65GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_S.gguf | Q5_K_S | 4.65GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K.gguf | Q5_K | 4.78GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_M.gguf | Q5_K_M | 4.78GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_1.gguf | Q5_1 | 5.07GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q6_K.gguf | Q6_K | 5.53GB | | OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q8_0.gguf | Q8_0 | 7.17GB | Original model description: --- license: apache-2.0 --- Training hyperparameters LoRA: r=16 lora_alpha=16 lora_dropout=0.05 bias=\"none\" task_type=\"CAUSAL_LM\" target_modules=['k_proj', 'gate_proj', 'v_proj', 'up_proj', 'q_proj', 'o_proj', 'down_proj'] Training arguments: auto_find_batch_size=True gradient_checkpointing=True learning_rate=5e-7 lr_scheduler_type=\"cosine\" max_steps=3922 optim=\"paged_adamw_32bit\" warmup_steps=100 DPOTrainer: beta=0.1 max_prompt_length=1024 max_length=1536 Arxiv link: https://arxiv.org/abs/2403.02745",
"quick_links": [],
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"readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nOpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered - GGUF\n- Model creator: https://huggingface.co/sonthenguyen/\n- Original model: https://huggingface.co/sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q2_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q2_K.gguf) | Q2_K | 2.53GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_S.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_M.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K.gguf) | Q3_K | 3.28GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_0.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K.gguf) | Q4_K | 4.07GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_1.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_0.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K.gguf) | Q5_K | 4.78GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_1.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q6_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q6_K.gguf) | Q6_K | 5.53GB |\n| [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q8_0.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\n---\n\nTraining hyperparameters LoRA: r=16 lora_alpha=16 lora_dropout=0.05 bias=\"none\" task_type=\"CAUSAL_LM\" target_modules=['k_proj', 'gate_proj', 'v_proj', 'up_proj', 'q_proj', 'o_proj', 'down_proj']\n\nTraining arguments: auto_find_batch_size=True gradient_checkpointing=True learning_rate=5e-7 lr_scheduler_type=\"cosine\" max_steps=3922 optim=\"paged_adamw_32bit\" warmup_steps=100\n\nDPOTrainer: beta=0.1 max_prompt_length=1024 max_length=1536\n\nArxiv link: https://arxiv.org/abs/2403.02745\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"arxiv:2403.02745",
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"region:us",
"conversational"
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"last_modified": "2024-08-02T16:44:32.000Z",
"created_at": "2024-08-02T14:57:28.000Z",
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Source payload excerpt (from Hugging Face API)
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