SZLHOLDINGS
/

KHIPU-R2

@@ -1,210 +1,53 @@
 ---
-base_model: unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit
-library_name: peft
-pipeline_tag: text-generation
 tags:
-- base_model:adapter:unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit
-- lora
-- sft
-- transformers
-- trl
-- unsloth
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-[More Information Needed]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
-## Training Details
-### Training Data
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-[More Information Needed]
-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
-## Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-### Testing Data, Factors & Metrics
-#### Testing Data
-<!-- This should link to a Dataset Card if possible. -->
-[More Information Needed]
-#### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-[More Information Needed]
-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-### Results
-[More Information Needed]
-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
-[More Information Needed]
-### Compute Infrastructure
-[More Information Needed]
-#### Hardware
-[More Information Needed]
-#### Software
-[More Information Needed]
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Model Card Authors [optional]
-[More Information Needed]
-## Model Card Contact
-[More Information Needed]
-### Framework versions
-- PEFT 0.20.0

 ---
+license: apache-2.0
 tags:
+  - roadmap
+  - not-a-checkpoint
+  - szl-holdings
+  - series-a
+  - doctrine-v11
+  - khipu
 ---
+# KHIPU-R2
+**ROADMAP.** This Hub ID is the named next Khipu revision. There are **no weights** on this ID. Do not `from_pretrained("SZLHOLDINGS/KHIPU-R2")`. Live weights are [`SZL-Khipu-1.5B`](https://huggingface.co/SZLHOLDINGS/SZL-Khipu-1.5B), not this ID. This repo does **not** overwrite the signed 1.5B.
+Train scripts may exist here. Scripts are not a checkpoint. Training is **ROADMAP**. Weights are **UNAVAILABLE**.
+## What
+- A reserved name for a future Khipu revision (abstain retrain / successor line).
+- Files on Hub 2026-08-28 1:18 PM ET: `train_khipu_r2.py`, `train_khipu_abstain.py` — source, not tensors.
+## What-NOT
+- Not a trained next Khipu. Not an adapter on Hub. Not `base_model: Qwen/Qwen2.5-1.5B-Instruct` with relation `adapter`.
+- Not a replacement for [`SZL-Khipu-1.5B`](https://huggingface.co/SZLHOLDINGS/SZL-Khipu-1.5B). Never overwrite that ID from this one.
+- Not MEASURED capability. A job id is not a checkpoint.
+## Status
+| Thing | Label | Method / N / date / what-NOT |
+|---|---|---|
+| Weights | **UNAVAILABLE** | Hub file list 2026-08-28 1:18 PM ET. N=0 safetensors / GGUF / adapter. Files present: README + two train scripts. |
+| Training | **ROADMAP** | Scripts **REACHABLE** on this repo. No signed `training_receipt` + tensors together on Hub. What-NOT: a script is not a trained model. |
+| HF Job | **REPORTED** | Job id `6a91bf11984507d9db4ea104` ([link](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf11984507d9db4ea104)) — REPORTED from the prior card / Hub jobs, 2026-08-28. What-NOT: REPORTED is not MEASURED; this does not prove adapters exist on this ID. |
+| Evals | **ROADMAP** | No eval receipt on this ID. N=0. Do not reuse Khipu 1.5B k/n as R2 scores. |
+| Inference | **UNAVAILABLE** | Lab load forbidden. Lab serves signed GGUF only. |
+## Live weights (different IDs)
+Tensors that actually load today:
+- [`SZLHOLDINGS/SZL-Khipu-1.5B`](https://huggingface.co/SZLHOLDINGS/SZL-Khipu-1.5B) and [`SZL-Khipu-1.5B-GGUF`](https://huggingface.co/SZLHOLDINGS/SZL-Khipu-1.5B-GGUF)
+- [`SZLHOLDINGS/SZL-Forge-1.5B-ReceiptAgent`](https://huggingface.co/SZLHOLDINGS/SZL-Forge-1.5B-ReceiptAgent)
+- [`SZLHOLDINGS/chaski`](https://huggingface.co/SZLHOLDINGS/chaski) — adapter + merged 16-bit on Hub; job ERROR; evals UNAVAILABLE; not production
+## Doctrine
+**Doctrine v11.** Λ (lambda) = **Conjecture 1** — advisory, never green, never a theorem.
+Honesty labels: **MEASURED** · **REPORTED** · **DERIVED** · **MODELED** · **SNAPSHOT** · **REACHABLE** · **UNAVAILABLE** · **ROADMAP** · **CONJECTURE**.
+Every number carries method / N / date / what-NOT. No model-index. No invented evals.