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Ternary Bonsai 2 27B PTQ1_0

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Unknown · 5.95 GB download

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Setup, memory & provenance · Unknown

Unknown · 5.95 GB of weights · prism_vulkan · context 16384 · GPU layers 99

Large · 20B and above · dense · 26.9B total

Memory fit has not been verified for this configuration.

completed

Recorded settings and thinking verification

Temperature 0 · seed 42 · output limit 4096 · reasoning effort unrecorded

RAM labels describe the test computer, not this model’s memory requirement. Speed comparisons keep the 32 GB and 128 GB runs separate.

Runtime build: unrecorded · Local · test machine with 32 GB RAM · concurrency: 1

Thinking status: native reasoning · probe 3 · scope Profile-bound diagnostic confirms native reasoning; separate checkpoint, no verified off condition..

Requested off does not prove an absence of reasoning. Saved checks do not establish unrecorded historical template or build details.

Overall across tasks

82.9 / 100

Nine categories, equally weighted · 9/9 eligible

Complete coverage for this setup. Quality only; speed is separate. How the index works →

What does it do well?

Select a category to explore the answers. Bars show what happened on every planned task. Incorrect answers and failures to finish both earn zero; technical problems and untested tasks stay unscored.

Exact scores and task times by suite

Each suite has its own metric and fixed task bank. The balanced index weights categories equally; individual scores and evidence remain available below.

Test suiteThinking / Reasoning versionDetails
Everyday coding tasksTask pass rate
Pass rate
16/16 · 100%
Answers completed
16/16 · 100%
Correct / completed
16/16 · 100%
16 full credit
16/16 scored52.9s median task time · 16 measured
Larger practical tasksMean task credit
Average credit
72.7%
Full-credit rate
8/11 · 73%
Answers completed
10/11 · 91%
Full credit / completed
8/10 · 80%
8 full credit2 incorrect1 failed to finish
11/11 scored333.3s median task time · 11 measured
Logic and number puzzlesMean puzzle credit
Average credit
82.4%
Full-credit rate
28/34 · 82%
Answers completed
34/34 · 100%
Full credit / completed
28/34 · 82%
28 full credit1 partial credit5 incorrect
34/34 scored97.6s median task time · 34 measured
Published hard problemsMean answer credit
Average credit
72.6%
Full-credit rate
7/11 · 64%
Answers completed
11/11 · 100%
Full credit / completed
7/11 · 64%
7 full credit3 partial credit1 incorrect
11/11 scored170.1s median task time · 11 measured
Following exact instructions · original campaignStrict prompt compliance
Pass rate
22/23 · 96%
Answers completed
23/23 · 100%
Correct / completed
22/23 · 96%
22 full credit1 incorrect
23/23 scored81.5s median task time · 23 measured
Reading without guessingExact-match accuracy
Pass rate
15/16 · 94%
Answers completed
16/16 · 100%
Correct / completed
15/16 · 94%
15 full credit1 incorrect
16/16 scored12.2s median task time · 16 measured
Calculating from a passageNumeric exact-match accuracy
Pass rate
7/7 · 100%
Answers completed
7/7 · 100%
Correct / completed
7/7 · 100%
7 full credit
7/7 scored13.3s median task time · 7 measured
Reading research papersAnswer token F1
Average credit
37.6%
Full-credit rate
0/8 · 0%
Answers completed
8/8 · 100%
Full credit / completed
0/8 · 0%
7 partial credit1 incorrect
8/8 scored68.4s median task time · 8 measured
Resisting incorrect correctionsAll-branches pass rate
Pass rate
11/12 · 92%
Answers completed
12/12 · 100%
Correct / completed
11/12 · 92%
11 full credit1 incorrect
12/12 scored46.8s median task time · 12 measured
Following exact instructions · 128 GB campaignStrict prompt complianceNot planned

Model analysis

This analysis covers this configuration across its recorded thinking conditions and test suites.

Use this native-reasoning model for small project edits and passage questions. It also succeeded on most larger practical tasks and handled logic puzzles well, making it useful beyond simple assistance. Research-paper answers were weak and need independent checking. On this test machine, small coding tasks took a median 52.9 seconds and larger tasks 333.3 seconds: useful results if you can tolerate the wait, rather than expect instant interaction.

Evidence for this judgment
Everyday coding tasks · Thinking / Reasoning version
Tasks passed16 of 16 (100.0%)
Test coverage16 of 16 tasks scored
Tasks timed16 tasks
Typical time per task (median)52.9 seconds
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Reading without guessing · Thinking / Reasoning version
Tasks passed15 of 16 (93.8%)
Test coverage16 of 16 tasks scored
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Larger practical tasks · Thinking / Reasoning version
Average score72.7/100 · Mean task credit
Test coverage11 of 11 tasks scored
Task outcomes8 full credit · 0 partial · 3 no credit
Tasks timed11 tasks
Typical time per task (median)333.3 seconds
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Logic and number puzzles · Thinking / Reasoning version
Average score82.4/100 · Mean puzzle credit
Test coverage34 of 34 tasks scored
Task outcomes28 full credit · 1 partial · 5 no credit
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Reading research papers · Thinking / Reasoning version
Average score37.6/100 · Answer token F1
Test coverage8 of 8 tasks scored
Task outcomes0 full credit · 7 partial · 1 no credit
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Source limitation
This is a native reasoning checkpoint. Its Instruct counterpart is a related checkpoint with different weights, not a matched thinking-off run of this GGUF.

Summary generated by GPT Astra · · Agent reviewed by Codex · publication authorized by user

About this summary
Analyst provider
openai
Generation route
Codex CLI · codex-cli 0.163.0 · ChatGPT account
Requested model
gpt-6-astra
Returned model
Not supplied; identity is recorded from the request only.
Exact provider snapshot
Exact provider snapshot not supplied.
Reasoning effort
high
Prompt version
model-summary-reader-v8
Generation time
2026-10-22T06:05:55.451532Z
Review time
2026-10-22T06:50:45.118591+00:00
Evidence reviewer
Codex (agent)
Publication authorization
User · 2026-10-22T05:55:43.625712+00:00 · Go ahead and complete the remaining work. Spin up agents: luna, terra, sol, astra, as needed to get it done. Narrative summaries: these are the astra generated summaries? Go ahead and get those completed as well. Once all of this is done, you may push the completed result.
Originating evidence edition
dataset-5a6f96ec56c3d240cc42fa23147c1495da1be71f3ef0722c0e5f8c4f5e126a83
Analysis input hash
06fd2877e0b2d67acea9113717066eda94de6013f6f14b2b84930132359d7585
Summary revision
summary-bb09a8e82b3abd9ca1c4d9b9816af88d7f260ae382dd17f278821b6f7bd597f0

Generation and editorial authorship remain attached to this revision. Changing the default generator does not change this attribution.

Good at

Small-project editing succeeded across these prompts and their repeats, while most larger practical tasks also succeeded. It is useful for project work beyond simple snippets, provided you check the finished result.

Evidence for this judgment
Everyday coding tasks · Thinking / Reasoning version
Tasks passed16 of 16 (100.0%)
Test coverage16 of 16 tasks scored
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Everyday coding tasks · Thinking on · sampled repetitions
Repetitions earning full credit48 repetitions
Repetitions scored48 repetitions
Repetitions planned48 repetitions
Questions successful every repetition16 questions
Questions with all repetitions scored16 questions
Distinct questions planned16 questions
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Larger practical tasks · Thinking / Reasoning version
Average score72.7/100 · Mean task credit
Test coverage11 of 11 tasks scored
Task outcomes8 full credit · 0 partial · 3 no credit
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Handles passage questions, calculations from passages, and detailed wording rules well. It also usually kept source-backed answers when challenged and updated them when the source changed.

Evidence for this judgment
Reading without guessing · Thinking / Reasoning version
Tasks passed15 of 16 (93.8%)
Test coverage16 of 16 tasks scored
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Calculating from a passage · Thinking / Reasoning version
Tasks passed7 of 7 (100.0%)
Test coverage7 of 7 tasks scored
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Following exact instructions · Thinking / Reasoning version
Tasks passed22 of 23 (95.7%)
Test coverage23 of 23 tasks scored
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Resisting incorrect corrections · Thinking / Reasoning version
Tasks passed11 of 12 (91.7%)
Test coverage12 of 12 tasks scored
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Struggles with

Research-paper answers matched reference answers poorly overall. Treat it as an aid to check against the paper, not a dependable source of precise research conclusions.

Evidence for this judgment
Reading research papers · Thinking / Reasoning version
Average score37.6/100 · Answer token F1
Test coverage8 of 8 tasks scored
Task outcomes0 full credit · 7 partial · 1 no credit
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Hard math and reasoning still need verification: some answers were partial or wrong. Larger practical work also needs supervision; despite succeeding on most tasks, it sometimes failed checks or did not finish.

Evidence for this judgment
Published hard problems · Thinking / Reasoning version
Average score72.6/100 · Mean answer credit
Test coverage11 of 11 tasks scored
Task outcomes7 full credit · 3 partial · 1 no credit
Partially correct answers3 tasks
Incorrect completed answers1 tasks
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Larger practical tasks · Thinking / Reasoning version
Average score72.7/100 · Mean task credit
Test coverage11 of 11 tasks scored
Task outcomes8 full credit · 0 partial · 3 no credit
Incorrect completed answers2 tasks
Failed to finish1 tasks
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Worth knowing

This native-reasoning checkpoint has no verified thinking-off baseline. These results cannot establish whether thinking is worth its extra time; the separate Instruct checkpoint is not an on/off comparison.

Evidence for this judgment

Source limitation
This is a native reasoning checkpoint. Its Instruct counterpart is a related checkpoint with different weights, not a matched thinking-off run of this GGUF.

Publication redactions limit readers’ inspection of some evidence.

Evidence for this judgment

Source limitation
Some selected evidence has recorded publication redactions.

How to interpret these assessments and their limitations →

One weight format is recorded for this model. Additional tested formats will appear here when available.

Thinking tradeoff

No verified on/off comparison is available for this configuration and test suite. Requested modes alone do not establish a controlled thinking comparison.

Sampled repetitions

Repeated runs are a separate experiment and never add votes to the baseline score.

Thinking / Reasoning version · temperature 0.6

48/48 repeats scored · 48 full-credit repeats.

16/16 questions have every planned repeat scored. Of those, 16 earned full credit on every repeat.

Recorded repetition conditions
  • Seed 101 · requested on · native reasoning
  • Seed 303 · requested on · native reasoning
  • Seed 202 · requested on · native reasoning

Everyday coding tasks: recorded outcomes

Find information in a small project, edit files and fix bugs.

16 full credit

Each segment counts tasks, not credit points. Partial credit varies by task.

Scoring and fixed question bank →

This model’s answers, code and tool activity

Select a question to read the original answer, tool calls and available code changes for this configuration and thinking setting.

1–16 of 16 matching questions · 16 in this version

  • Locate the Retry Limit

    The user asks where the project's retry-limit setting is defined and what value it holds. This exercises locating a named setting in code and reporting both its location and value.

    basic-T1 · primary
  • Find the Release Date

    The user asks for the release date mentioned in a project notes document. This exercises reading a specified file and extracting a particular fact rather than guessing from outside knowledge.

    basic-T2 · primary
  • Change the Retry Limit

    The user asks to change the project's retry limit to a specified value. This exercises finding the relevant setting and making a focused code edit rather than merely describing the change.

    basic-T3 · primary
  • Create an Exact One-Line File

    The user asks to create a text file containing exactly one supplied line. This exercises basic file creation and precise instruction following, including avoiding extra text in the file.

    basic-T4 · primary
  • Explain the Latest Commit

    The user asks what the most recent Git commit changed in the project. This exercises inspecting recorded changes and turning them into a clear explanation of what was modified.

    basic-T5 · primary
  • Count and Compare Python Files

    The user asks how many Python files are in the application folder and which is largest. This exercises identifying relevant files, counting them, and comparing their sizes.

    basic-T6 · primary
  • Add Readable Byte Sizes

    The user asks to add a function that converts byte counts into readable sizes and remove the related TODO comment. This exercises implementing a small utility and updating the surrounding code consistently.

    basic-T7 · primary
  • Collect TODO Comments

    The user asks to find every TODO comment in the Python code and append each to the project's task list on a separate line. This combines searching across files with collecting text into an existing document.

    basic-T8 · primary
  • Fix Code Behind a Failing Test

    The user asks to investigate a failing test and fix the application code without changing the test. This exercises diagnosing a bug while respecting an explicit limit on what may be edited.

    basic-H1 · primary
  • Rename a Function Throughout

    The user asks to rename a network function and update every place in the project that uses it. This exercises tracking references across files and making a coordinated change rather than editing only the definition.

    basic-H2 · primary
  • Find the Proxy Settings

    The user asks to find a proxy configuration file somewhere under the project's parent folder and report its host and port. This exercises searching beyond the project folder and reading configuration values.

    basic-H3 · primary
  • Locate an Error in a Log

    The user asks which error code appears in a long event log and on which line. This exercises finding a specific entry in a large file and reporting its precise location.

    basic-H4 · primary
  • Append a Final Task

    The user asks to append a supplied release-related task as the final line of an existing task list. This exercises preserving existing content while adding exact text in the requested position.

    basic-H5 · primary
  • Calculate Total Retry Waiting

    The user asks for the total time a network function spends sleeping when all attempts fail, worked out from the code. This exercises following retry logic and adding the delays along that failure path.

    basic-H6 · primary
  • Document Every Command-Line Option

    The user asks for a project readme listing every command-line option with its help text. This exercises discovering the program's available options and transferring that information into complete, source-grounded documentation.

    basic-H7 · primary
  • Undo a Commit by Editing

    The user asks to undo the latest Git commit's change by editing the file directly, without using Git to make changes. This exercises understanding a previous edit and reversing it under a method constraint.

    basic-H8 · primary
Filters change this list, not the fixed scoring denominator. Search currently covers question IDs, titles and available task explanations. Focus a control to load prompt/outcome search where this edition provides it.

Suggested comparisons

These are starting points for inspection, not claims that one setup is better. Runtime and placement differences remain visible.

Gemma 4 31B Q4_K_M

Another checkpoint in the same total-parameter band and architecture category, with matching task controls.

Requested thinking on · Exploratory: incomplete or uncertain evidence

Compare these configurations →

Selection rule and evidence IDsPolicy comparisons-v3 · Template same-parameter-architecture-matching-controls
Facts: fact-f853cc4c0f85e84a60d79739, fact-3af1a54b165e66e011239867
Matching candidate set: fact-3af1a54b165e66e011239867, fact-e604bf811422fb8da6206424

Tested weights

Unknown · 5.95 GB

prism-ml · recorded source

Ternary-Bonsai-2-27B-PTQ1_0.gguf · Exact GGUF file →Historical first-MiB hash only; not a full-file identity.

Explore the answers

Choose a suite to inspect its exact available questions, references and model answers.