Osakra/Project-Norn-V17-4.5B
zetlyn/models-gguf quantisation gguf Osakra/Project-Norn-V17-4.5B hf Qwen/Qwen3-4B-Instruct-2507 known 2026-09-12
https://huggingface.co/Osakra/Project-Norn-V17-4.5B
Properties
| author | Osakrareceipt
What the source handed over{
"_id": "6aa4d8fd8d1f9e2b01189ce5",
"author": "Osakra",
"cardData": {
"base_model": "Qwen/Qwen3-4B-Instruct-2507",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"qwen3",
"osakra-research"
]
},
"createdAt": "2026-09-12T04:45:49.000Z",
"downloads": 328,
"gated": false,
"id": "Osakra/Project-Norn-V17-4.5B",
"lastModified": "2026-09-12T04:56:44.000Z",
"library_name": "transformers",
"likes": 1,
"modelId": "Osakra/Project-Norn-V17-4.5B",
"pipeline_tag": "text-generation",
"private": false,
"sha": "c9855ad9513864dd5f0fd01eb97cb53a2d71e0a9",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": ".gitignore"
},
{
"rfilename": "MODEL_CARD.md"
},
{
"rfilename": "Modelfile"
},
{
"rfilename": "README.md"
},
{
"rfilename": "adapter/adapter_config.json"
},
{
"rfilename": "adapter/adapter_model.safetensors"
},
{
"rfilename": "adapter_config.json"
},
{
"rfilename": "adapter_model.safetensors"
},
{
"rfilename": "chat.py"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation_suite_250.json"
},
{
"rfilename": "example_inference.py"
},
{
"rfilename": "frontier_vs_norn_v17_dual.png"
},
{
"rfilename": "frontier_vs_norn_v17_multi.png"
},
{
"rfilename": "frontier_vs_norn_v17_standalone_vs_cognitive.png"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "merge_lora.py"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "norn-v17-q4_k_m.gguf"
},
{
"rfilename": "norn_api_server.py"
},
{
"rfilename": "norn_architecture_diagram.png"
},
{
"rfilename": "norn_avatar.png"
},
{
"rfilename": "norn_biology_proj_v17.pt"
},
{
"rfilename": "norn_v17_benchmark_results.json"
},
{
"rfilename": "norn_v17_standalone_benchmark_results.json"
},
{
"rfilename": "norn_wrapper.py"
},
{
"rfilename": "novel_benchmark_results.json"
},
{
"rfilename": "novel_benchmark_suite.json"
},
{
"rfilename": "osakra_research_logo.png"
},
{
"rfilename": "requirements.txt"
},
{
"rfilename": "run_benchmark.py"
},
{
"rfilename": "run_novel_benchmark.py"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"tags": [
"transformers",
"safetensors",
"gguf",
"qwen3",
"text-generation",
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"osakra-research",
"conversational",
"en",
"arxiv:1603.08983",
"arxiv:2110.14168",
"arxiv:2002.05202",
"arxiv:2501.12948",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
]
} |
|---|---|
| base | Qwen/Qwen3-4B-Instruct-2507receipt
What the source handed over{
"_id": "6aa4d8fd8d1f9e2b01189ce5",
"author": "Osakra",
"cardData": {
"base_model": "Qwen/Qwen3-4B-Instruct-2507",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"qwen3",
"osakra-research"
]
},
"createdAt": "2026-09-12T04:45:49.000Z",
"downloads": 328,
"gated": false,
"id": "Osakra/Project-Norn-V17-4.5B",
"lastModified": "2026-09-12T04:56:44.000Z",
"library_name": "transformers",
"likes": 1,
"modelId": "Osakra/Project-Norn-V17-4.5B",
"pipeline_tag": "text-generation",
"private": false,
"sha": "c9855ad9513864dd5f0fd01eb97cb53a2d71e0a9",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": ".gitignore"
},
{
"rfilename": "MODEL_CARD.md"
},
{
"rfilename": "Modelfile"
},
{
"rfilename": "README.md"
},
{
"rfilename": "adapter/adapter_config.json"
},
{
"rfilename": "adapter/adapter_model.safetensors"
},
{
"rfilename": "adapter_config.json"
},
{
"rfilename": "adapter_model.safetensors"
},
{
"rfilename": "chat.py"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation_suite_250.json"
},
{
"rfilename": "example_inference.py"
},
{
"rfilename": "frontier_vs_norn_v17_dual.png"
},
{
"rfilename": "frontier_vs_norn_v17_multi.png"
},
{
"rfilename": "frontier_vs_norn_v17_standalone_vs_cognitive.png"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "merge_lora.py"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "norn-v17-q4_k_m.gguf"
},
{
"rfilename": "norn_api_server.py"
},
{
"rfilename": "norn_architecture_diagram.png"
},
{
"rfilename": "norn_avatar.png"
},
{
"rfilename": "norn_biology_proj_v17.pt"
},
{
"rfilename": "norn_v17_benchmark_results.json"
},
{
"rfilename": "norn_v17_standalone_benchmark_results.json"
},
{
"rfilename": "norn_wrapper.py"
},
{
"rfilename": "novel_benchmark_results.json"
},
{
"rfilename": "novel_benchmark_suite.json"
},
{
"rfilename": "osakra_research_logo.png"
},
{
"rfilename": "requirements.txt"
},
{
"rfilename": "run_benchmark.py"
},
{
"rfilename": "run_novel_benchmark.py"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"tags": [
"transformers",
"safetensors",
"gguf",
"qwen3",
"text-generation",
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"osakra-research",
"conversational",
"en",
"arxiv:1603.08983",
"arxiv:2110.14168",
"arxiv:2002.05202",
"arxiv:2501.12948",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
]
} |
| downloads | 328receipt
What the source handed over{
"_id": "6aa4d8fd8d1f9e2b01189ce5",
"author": "Osakra",
"cardData": {
"base_model": "Qwen/Qwen3-4B-Instruct-2507",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"qwen3",
"osakra-research"
]
},
"createdAt": "2026-09-12T04:45:49.000Z",
"downloads": 328,
"gated": false,
"id": "Osakra/Project-Norn-V17-4.5B",
"lastModified": "2026-09-12T04:56:44.000Z",
"library_name": "transformers",
"likes": 1,
"modelId": "Osakra/Project-Norn-V17-4.5B",
"pipeline_tag": "text-generation",
"private": false,
"sha": "c9855ad9513864dd5f0fd01eb97cb53a2d71e0a9",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": ".gitignore"
},
{
"rfilename": "MODEL_CARD.md"
},
{
"rfilename": "Modelfile"
},
{
"rfilename": "README.md"
},
{
"rfilename": "adapter/adapter_config.json"
},
{
"rfilename": "adapter/adapter_model.safetensors"
},
{
"rfilename": "adapter_config.json"
},
{
"rfilename": "adapter_model.safetensors"
},
{
"rfilename": "chat.py"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation_suite_250.json"
},
{
"rfilename": "example_inference.py"
},
{
"rfilename": "frontier_vs_norn_v17_dual.png"
},
{
"rfilename": "frontier_vs_norn_v17_multi.png"
},
{
"rfilename": "frontier_vs_norn_v17_standalone_vs_cognitive.png"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "merge_lora.py"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "norn-v17-q4_k_m.gguf"
},
{
"rfilename": "norn_api_server.py"
},
{
"rfilename": "norn_architecture_diagram.png"
},
{
"rfilename": "norn_avatar.png"
},
{
"rfilename": "norn_biology_proj_v17.pt"
},
{
"rfilename": "norn_v17_benchmark_results.json"
},
{
"rfilename": "norn_v17_standalone_benchmark_results.json"
},
{
"rfilename": "norn_wrapper.py"
},
{
"rfilename": "novel_benchmark_results.json"
},
{
"rfilename": "novel_benchmark_suite.json"
},
{
"rfilename": "osakra_research_logo.png"
},
{
"rfilename": "requirements.txt"
},
{
"rfilename": "run_benchmark.py"
},
{
"rfilename": "run_novel_benchmark.py"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"tags": [
"transformers",
"safetensors",
"gguf",
"qwen3",
"text-generation",
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"osakra-research",
"conversational",
"en",
"arxiv:1603.08983",
"arxiv:2110.14168",
"arxiv:2002.05202",
"arxiv:2501.12948",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
]
} |
| licence | apache-2.0receipt
What the source handed over{
"_id": "6aa4d8fd8d1f9e2b01189ce5",
"author": "Osakra",
"cardData": {
"base_model": "Qwen/Qwen3-4B-Instruct-2507",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"qwen3",
"osakra-research"
]
},
"createdAt": "2026-09-12T04:45:49.000Z",
"downloads": 328,
"gated": false,
"id": "Osakra/Project-Norn-V17-4.5B",
"lastModified": "2026-09-12T04:56:44.000Z",
"library_name": "transformers",
"likes": 1,
"modelId": "Osakra/Project-Norn-V17-4.5B",
"pipeline_tag": "text-generation",
"private": false,
"sha": "c9855ad9513864dd5f0fd01eb97cb53a2d71e0a9",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": ".gitignore"
},
{
"rfilename": "MODEL_CARD.md"
},
{
"rfilename": "Modelfile"
},
{
"rfilename": "README.md"
},
{
"rfilename": "adapter/adapter_config.json"
},
{
"rfilename": "adapter/adapter_model.safetensors"
},
{
"rfilename": "adapter_config.json"
},
{
"rfilename": "adapter_model.safetensors"
},
{
"rfilename": "chat.py"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation_suite_250.json"
},
{
"rfilename": "example_inference.py"
},
{
"rfilename": "frontier_vs_norn_v17_dual.png"
},
{
"rfilename": "frontier_vs_norn_v17_multi.png"
},
{
"rfilename": "frontier_vs_norn_v17_standalone_vs_cognitive.png"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "merge_lora.py"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "norn-v17-q4_k_m.gguf"
},
{
"rfilename": "norn_api_server.py"
},
{
"rfilename": "norn_architecture_diagram.png"
},
{
"rfilename": "norn_avatar.png"
},
{
"rfilename": "norn_biology_proj_v17.pt"
},
{
"rfilename": "norn_v17_benchmark_results.json"
},
{
"rfilename": "norn_v17_standalone_benchmark_results.json"
},
{
"rfilename": "norn_wrapper.py"
},
{
"rfilename": "novel_benchmark_results.json"
},
{
"rfilename": "novel_benchmark_suite.json"
},
{
"rfilename": "osakra_research_logo.png"
},
{
"rfilename": "requirements.txt"
},
{
"rfilename": "run_benchmark.py"
},
{
"rfilename": "run_novel_benchmark.py"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"tags": [
"transformers",
"safetensors",
"gguf",
"qwen3",
"text-generation",
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"osakra-research",
"conversational",
"en",
"arxiv:1603.08983",
"arxiv:2110.14168",
"arxiv:2002.05202",
"arxiv:2501.12948",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
]
} |
| likes | 1receipt
What the source handed over{
"_id": "6aa4d8fd8d1f9e2b01189ce5",
"author": "Osakra",
"cardData": {
"base_model": "Qwen/Qwen3-4B-Instruct-2507",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"qwen3",
"osakra-research"
]
},
"createdAt": "2026-09-12T04:45:49.000Z",
"downloads": 328,
"gated": false,
"id": "Osakra/Project-Norn-V17-4.5B",
"lastModified": "2026-09-12T04:56:44.000Z",
"library_name": "transformers",
"likes": 1,
"modelId": "Osakra/Project-Norn-V17-4.5B",
"pipeline_tag": "text-generation",
"private": false,
"sha": "c9855ad9513864dd5f0fd01eb97cb53a2d71e0a9",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": ".gitignore"
},
{
"rfilename": "MODEL_CARD.md"
},
{
"rfilename": "Modelfile"
},
{
"rfilename": "README.md"
},
{
"rfilename": "adapter/adapter_config.json"
},
{
"rfilename": "adapter/adapter_model.safetensors"
},
{
"rfilename": "adapter_config.json"
},
{
"rfilename": "adapter_model.safetensors"
},
{
"rfilename": "chat.py"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation_suite_250.json"
},
{
"rfilename": "example_inference.py"
},
{
"rfilename": "frontier_vs_norn_v17_dual.png"
},
{
"rfilename": "frontier_vs_norn_v17_multi.png"
},
{
"rfilename": "frontier_vs_norn_v17_standalone_vs_cognitive.png"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "merge_lora.py"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "norn-v17-q4_k_m.gguf"
},
{
"rfilename": "norn_api_server.py"
},
{
"rfilename": "norn_architecture_diagram.png"
},
{
"rfilename": "norn_avatar.png"
},
{
"rfilename": "norn_biology_proj_v17.pt"
},
{
"rfilename": "norn_v17_benchmark_results.json"
},
{
"rfilename": "norn_v17_standalone_benchmark_results.json"
},
{
"rfilename": "norn_wrapper.py"
},
{
"rfilename": "novel_benchmark_results.json"
},
{
"rfilename": "novel_benchmark_suite.json"
},
{
"rfilename": "osakra_research_logo.png"
},
{
"rfilename": "requirements.txt"
},
{
"rfilename": "run_benchmark.py"
},
{
"rfilename": "run_novel_benchmark.py"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"tags": [
"transformers",
"safetensors",
"gguf",
"qwen3",
"text-generation",
"dual-system",
"continuous-latent-cot",
"neuro-symbolic",
"holographic-memory",
"relational-graph-hrr",
"perceiver-cross-attention",
"swiglu",
"reasoning",
"math",
"code",
"agentic",
"osakra-research",
"conversational",
"en",
"arxiv:1603.08983",
"arxiv:2110.14168",
"arxiv:2002.05202",
"arxiv:2501.12948",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
]
} |
Text
This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/Osakra/Project-Norn-V17-4.5B.