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+
MODEL_SHA256SUMS.txt ADDED
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+ 61c4c1e4cbd781cb62583e0de148ba4f7ade8058e7c6943d42ca8d3fff808b56 config.json
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+ e70c136c1b78ddc1fb0905bac8e733a4dc448d4f852a5dd75143fffc70be550e generation_config.json
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+ c7f16811583ef94d27e4c5ff967928756f5e7f08e70c7cf0e9332676e402ba08 model-00001-of-00003.safetensors
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+ 13dd2f02875399ac14b54478ae1b6d98e822b55d5ebdf84ca8056275e0af912f model-00002-of-00003.safetensors
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+ 3a7339e74045b594a2ed31845a2f3a4b4ac70991cc5547c30aa4480be745174e model-00003-of-00003.safetensors
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+ 4c9f76352f7ac7f80da8069db76449136e08e2ce5a07eb6e01d1851288ade684 model.safetensors.index.json
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+ 42cae661ddaf448290fe906d658c4cabdc0c39134bbd848e84681e7271dcb1cf oq_imatrix_report.json
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+ 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523 tokenizer.json
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+ 95c557768e6b88a7128befc7bfd3c7de50e5d51af9b8b33a9f4dee0e04f99679 tokenizer_config.json
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+ cf91e366d1b3b7e4893798f5e794832ecf1bf8e7273a9f154e0031f76a212dd8 /Volumes/Swap/experiments/bonsai-27b-2026-07-19/oqe-imatrix/bonsai-27b-oQ2e-smoke-s32.npz
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+ 2d8f1971542286b69bb1849e7e3e257dc5f7e4b87d59ed09892b5abf8651fc12 /Volumes/Swap/experiments/bonsai-27b-2026-07-19/run_oq2e_smoke_s32.py
NOTICE.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
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+ This software is copyright 2026-present Prism ML, Inc. It is available under the Apache 2.0 license.
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+ If you publicly deploy or redistribute this software, we would appreciate attribution such as: "Created using Bonsai by Prism ML."
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+
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+ This software is built from Qwen3.6-27B, Copyright 2026 Alibaba Cloud, which is available under the Apache 2.0 License: https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE
PROVENANCE.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "artifact_id": "Bonsai-27B-oQ2e-S32-Smoke",
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+ "status": "experimental_calibration_smoke_not_quality_release",
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+ "producer": "Technologies Brewster Jennings du Canada",
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+ "source": {
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+ "derived_baseline": "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired",
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+ "upstream_repository": "prism-ml/Bonsai-27B-gguf",
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+ "upstream_revision": "0cf7e3d21581b169b4df1de8bf01316000e2fbb7",
9
+ "upstream_file_sha256": "d4a381a6d07131c34af888607bdbda49fc885c97673a0d22aa3e0f0284bba566",
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+ "license": "Apache-2.0"
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+ },
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+ "quantization": {
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+ "method": "oQe enhanced streaming quantization",
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+ "oq_level": 2,
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+ "dtype": "bfloat16",
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+ "imatrix_samples": 32,
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+ "imatrix_sequence_length": 512,
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+ "sensitivity_samples": 2,
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+ "sensitivity_sequence_length": 64,
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+ "calibration_dataset": "oqe_code_multilingual",
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+ "imatrix_entries": 496
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+ },
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+ "validation": {
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+ "runtime_loaded": true,
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+ "quality_release_eligible": false,
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+ "reason": "The bounded sensitivity stage is a pipeline smoke test only."
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+ }
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+ }
README.md ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ tags:
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+ - mlx
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+ - safetensors
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+ - bonsai
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+ - oqe
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+ - calibration-smoke
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+ - experimental
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+ - not-for-production
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+ pipeline_tag: text-generation
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+ library_name: mlx
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+ base_model:
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+ - TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired
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+ ---
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+
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+ # Bonsai 27B oQ2e S32 Calibration Smoke
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+
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+ > **Experimental calibration artifact. Not a quality release. Do not use this
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+ > model to judge Bonsai quality or as a production checkpoint.**
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+
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+ This repository preserves the first bounded oQe 2-bit output that loaded and
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+ generated normally on a 32 GB Apple Silicon host. Its purpose is reproducible
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+ pipeline evidence and storage, not a recommended deployment target.
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+
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+ ## What this proves
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+
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+ - An oQe-enhanced 2-bit MLX artifact could be produced from the public BF16
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+ conversion baseline and loaded by the local oMLX runtime.
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+ - The 32-sample calibration completed with 496 imatrix entries.
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+ - On fixed 10-question smoke screens it scored HellaSwag 7/10 and
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+ ARC-Challenge 6/10.
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+ - Single-request oMLX generation measured 15.71 tok/s at a 1,024-token prompt
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+ and 15.44 tok/s at 4,096 tokens, with cache disabled.
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+
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+ ## What this does not prove
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+
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+ The sensitivity stage was intentionally minimal: 2 samples of 64 tokens.
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+ The artifact has not passed the predeclared 100-question evaluations or a
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+ quality-sized sensitivity pass. It must not be compared with a validated Q4,
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+ Q8, oQ4, or oQ8 checkpoint as though it were a quality result.
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+
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+ ## Reproduction Parameters
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+
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+ | Setting | Value |
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+ | --- | ---: |
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+ | oQ level | 2 |
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+ | imatrix samples | 32 |
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+ | imatrix sequence length | 512 |
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+ | sensitivity samples | 2 |
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+ | sensitivity sequence length | 64 |
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+ | calibration dataset | `oqe_code_multilingual` |
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+ | imatrix entries | 496 |
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+
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+ `oq_imatrix_report.json`, `PROVENANCE.json`, and the included
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+ `IMATRIX_CACHE_SHA256.npz` record the exact emitted artifact and calibration
59
+ evidence. The NPZ is archival provenance; it is not needed to run the model.
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+
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+ ## Provenance
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+
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+ - Derived baseline: [TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired](https://huggingface.co/TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired)
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+ - Original source: [prism-ml/Bonsai-27B-gguf](https://huggingface.co/prism-ml/Bonsai-27B-gguf)
65
+ - Source revision: `0cf7e3d21581b169b4df1de8bf01316000e2fbb7`
66
+ - Original source file SHA-256: `d4a381a6d07131c34af888607bdbda49fc885c97673a0d22aa3e0f0284bba566`
67
+ - Output model hash manifest: `MODEL_SHA256SUMS.txt`
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+
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+ The project retains the upstream Apache-2.0 `LICENSE.txt` and `NOTICE.txt`.
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+
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+ ## Attribution
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+
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+ Created by Technologies Brewster Jennings du Canada for the Bonsai MLX
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+ quantization experiment. Created using Bonsai by Prism ML, derived from
75
+ Qwen3.6-27B.
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+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
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+ {%- if messages[0].role == 'system' %}
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+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
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+ {%- set ns.multi_step_tool = false %}
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+ {%- if ns.multi_step_tool %}
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+ {{- raise_exception('No user query found in messages.') }}
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+ {%- endif %}
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+ {%- for message in messages %}
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+ {%- set content = render_content(message.content, true)|trim %}
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+ {%- if message.role == "system" %}
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+ {%- if not loop.first %}
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+ {{- raise_exception('System message must be at the beginning.') }}
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+ {%- elif message.role == "user" %}
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+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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+ {%- elif message.role == "assistant" %}
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+ {%- set reasoning_content = '' %}
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+ {%- if message.reasoning_content is string %}
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+ {%- set reasoning_content = message.reasoning_content %}
93
+ {%- else %}
94
+ {%- if '</think>' in content %}
95
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
+ {%- endif %}
98
+ {%- endif %}
99
+ {%- set reasoning_content = reasoning_content|trim %}
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+ {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}
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+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
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+ {%- else %}
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+ {{- '<|im_start|>' + message.role + '\n' + content }}
104
+ {%- endif %}
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+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
+ {%- for tool_call in message.tool_calls %}
107
+ {%- if tool_call.function is defined %}
108
+ {%- set tool_call = tool_call.function %}
109
+ {%- endif %}
110
+ {%- if loop.first %}
111
+ {%- if content|trim %}
112
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
+ {%- else %}
114
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
+ {%- endif %}
116
+ {%- else %}
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+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
+ {%- endif %}
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+ {%- if tool_call.arguments is defined %}
120
+ {%- for args_name, args_value in tool_call.arguments|items %}
121
+ {{- '<parameter=' + args_name + '>\n' }}
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+ {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
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+ {{- args_value }}
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+ {{- '\n</parameter>\n' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '</function>\n</tool_call>' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if loop.previtem and loop.previtem.role != "tool" %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {{- content }}
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+ {{- '\n</tool_response>' }}
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+ {%- if not loop.last and loop.nextitem.role != "tool" %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif loop.last %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- else %}
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+ {{- raise_exception('Unexpected message role.') }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
148
+ {{- '<|im_start|>assistant\n' }}
149
+ {%- if enable_thinking is defined and enable_thinking is false %}
150
+ {{- '<think>\n\n</think>\n\n' }}
151
+ {%- else %}
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+ {{- '<think>\n' }}
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+ {%- endif %}
154
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,1348 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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