Model Intelligence Sheet
quantfactory/nsfw_dpo_noromaid-7b-mistral-7b-instruct-v0.1-gguf overview
This is quantized version of MaziyarPanahi/NSFWDPONoromaid-7b-Mistral-7B-Instruct-v0.1 created using llama.cpp # Original Model Card # NSFWDPONoromaid-7b-Mistral-7B-Instruct-v0.1 NSFWDPONoromaid-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models: mistralai/Mistral-7B-Instruct-v0.1 athirdpath/NSFWDPONoromaid-7b
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718
Likes
9
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q2_K.gguf | GGUF | Q2_K | 2.53 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q3_K_L.gguf | GGUF | Q3_K_L | 3.56 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q3_K_M.gguf | GGUF | Q3_K_M | 3.28 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q3_K_S.gguf | GGUF | Q3_K_S | 2.95 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_0.gguf | GGUF | — | 3.83 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_1.gguf | GGUF | — | 4.24 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_K_M.gguf | GGUF | Q4_K_M | 4.07 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_K_S.gguf | GGUF | Q4_K_S | 3.86 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q5_0.gguf | GGUF | — | 4.65 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q5_1.gguf | GGUF | — | 5.07 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q5_K_M.gguf | GGUF | Q5_K_M | 4.78 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q5_K_S.gguf | GGUF | Q5_K_S | 4.65 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q6_K.gguf | GGUF | Q6_K | 5.53 GB | Download |
| NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q8_0.gguf | GGUF | — | 7.17 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"tags": [
"Safetensors",
"mistral",
"text-generation-inference",
"merge",
"mistral",
"7b",
"mistralai/Mistral-7B-Instruct-v0.1",
"athirdpath/NSFW_DPO_Noromaid-7b",
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v2",
"dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
],
"frontmatter": {},
"hero_image_url": "https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ",
"summary": "This is quantized version of MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1 created using llama.cpp # Original Model Card # NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1 NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models: * mistralai/Mistral-7B-Instruct-v0.1 * athirdpath/NSFW_DPO_Noromaid-7b",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "\n---\n\nlicense: apache-2.0\ntags:\n- Safetensors\n- mistral\n- text-generation-inference\n- merge\n- mistral\n- 7b\n- mistralai/Mistral-7B-Instruct-v0.1\n- athirdpath/NSFW_DPO_Noromaid-7b\n- transformers\n- safetensors\n- mistral\n- text-generation\n- en\n- dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v2\n- dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW\n- license:cc-by-nc-4.0\n- autotrain_compatible\n- endpoints_compatible\n- has_space\n- text-generation-inference\n- region:us\n\n---\n\n[](https://hf.co/QuantFactory)\n\n\n# QuantFactory/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF\nThis is quantized version of [MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1) created using llama.cpp\n\n# Original Model Card\n\n\n# NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1\n\nNSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models:\n* [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)\n* [athirdpath/NSFW_DPO_Noromaid-7b](https://huggingface.co/athirdpath/NSFW_DPO_Noromaid-7b)\n\n## 🧩 Configuration\n\n```yaml\nslices:\n - sources:\n - model: mistralai/Mistral-7B-Instruct-v0.1\n layer_range: [0, 32]\n - model: athirdpath/NSFW_DPO_Noromaid-7b\n layer_range: [0, 32]\nmerge_method: slerp\nbase_model: mistralai/Mistral-7B-Instruct-v0.1\nparameters:\n t:\n - filter: self_attn\n value: [0, 0.5, 0.3, 0.7, 1]\n - filter: mlp\n value: [1, 0.5, 0.7, 0.3, 0]\n - value: 0.5\ndtype: bfloat16\n```\n\n\n## 💻 Usage\n\n\n```python\n!pip install -qU transformers accelerate\n\nfrom transformers import AutoTokenizer\nimport transformers\nimport torch\n\nmodel = \"MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1\"\nmessages = [{\"role\": \"user\", \"content\": \"What is a large language model?\"}]\n\ntokenizer = AutoTokenizer.from_pretrained(model)\nprompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\npipeline = transformers.pipeline(\n\"text-generation\",\nmodel=model,\ntorch_dtype=torch.float16,\ndevice_map=\"auto\",\n)\n\noutputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)\nprint(outputs[0][\"generated_text\"])\n```\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"Safetensors",
"mistral",
"text-generation-inference",
"merge",
"7b",
"mistralai/Mistral-7B-Instruct-v0.1",
"athirdpath/NSFW_DPO_Noromaid-7b",
"safetensors",
"text-generation",
"en",
"dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v2",
"dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us",
"license:apache-2.0",
"conversational"
],
"likes": 9,
"downloads": 718,
"gated": false,
"private": false,
"last_modified": "2024-10-11T08:17:41.000Z",
"created_at": "2024-10-11T07:39:39.000Z",
"pipeline_tag": "text-generation",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6708d63b5a5136fe2a46c6d2",
"id": "QuantFactory/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF",
"modelId": "QuantFactory/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF",
"sha": "442ddccf8d101fe8181e8e2b6722c61075c520ff",
"createdAt": "2024-10-11T07:39:39.000Z",
"lastModified": "2024-10-11T08:17:41.000Z",
"author": "QuantFactory",
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