Model Intelligence Sheet
roleplaiapp/deepseek-r1-distill-llama-70b-uncensored-v2-q4_k_m-gguf overview
Repo: roleplaiapp/DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Q4KM-GGUF Original Model: DeepSeek-R1-Distill-Llama-70B-Uncensored-v2 Quantized File: DeepSeek-R1-Distill-Llama-70B-Uncensored-v2.Q4KM.gguf Quantization: GGUF Quantization Method: Q4KM
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186
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0
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| DeepSeek-R1-Distill-Llama-70B-Uncensored-v2.Q4_K_M.gguf | GGUF | Q4_K_M | 39.60 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"card_data": {
"library_name": "transformers",
"pipeline_tag": "text-generation",
"tags": [
"4-bit",
"70b",
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"deepseek",
"distill",
"gguf",
"llama",
"llama-cpp",
"text-generation",
"uncensored"
],
"frontmatter": {
"library_name": "transformers",
"pipeline_tag": "text-generation",
"tags": [
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"70b",
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"summary": "**Repo:** roleplaiapp/DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Q4_K_M-GGUF **Original Model:** DeepSeek-R1-Distill-Llama-70B-Uncensored-v2 **Quantized File:** DeepSeek-R1-Distill-Llama-70B-Uncensored-v2.Q4_K_M.gguf **Quantization:** GGUF **Quantization Method:** Q4_K_M",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlibrary_name: transformers\npipeline_tag: text-generation\ntags:\n- 4-bit\n- 70b\n- Q4_K_M\n- deepseek\n- distill\n- gguf\n- llama\n- llama-cpp\n- text-generation\n- uncensored\n---\n\n# roleplaiapp/DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Q4_K_M-GGUF\n\n**Repo:** `roleplaiapp/DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Q4_K_M-GGUF`\n**Original Model:** `DeepSeek-R1-Distill-Llama-70B-Uncensored-v2`\n**Quantized File:** `DeepSeek-R1-Distill-Llama-70B-Uncensored-v2.Q4_K_M.gguf`\n**Quantization:** `GGUF`\n**Quantization Method:** `Q4_K_M` \n\n## Overview\nThis is a GGUF Q4_K_M quantized version of DeepSeek-R1-Distill-Llama-70B-Uncensored-v2\n## Quantization By\nI often have idle GPUs while building/testing for the RP app, so I put them to use quantizing models.\nI hope the community finds these quantizations useful.\n\nAndrew Webby @ [RolePlai](https://roleplai.app/).\n",
"related_quantizations": []
},
"tags": [
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"last_modified": "2025-01-31T08:05:58.000Z",
"created_at": "2025-01-31T08:01:11.000Z",
"pipeline_tag": "text-generation",
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Source payload excerpt (from Hugging Face API)
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"createdAt": "2025-01-31T08:01:11.000Z",
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