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Training in progress, step 64

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README.md CHANGED
@@ -1,77 +1,60 @@
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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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- pipeline_tag: text-generation
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  library_name: transformers
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- base_model: Qwen/Qwen3.5-0.8B
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- base_model_relation: adapter
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  tags:
10
- - szl-holdings
11
- - series-a
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- - doctrine-v11
13
- - governed-ai
14
- - proposal-only
15
- szl:
16
- doctrine: v11-LOCKED
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- lean: "749/14/163"
18
- lambda: "Conjecture 1 — advisory, never a theorem"
19
- evidence_ceiling: 0.97
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- artifact_class: ADAPTER
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- originality: FINETUNE_DISCLOSED_BASE
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- collection: "SZL Fall 2026 — Original Cuts"
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- jobs: RUNNING
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- job_id: 6a91bf1045686a1580c12105
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- job_retry: 6a91bf1045686a1580c12105
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- job_completed_no_weights: 6a91ba00984507d9db4ea07f
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- job_namespace: SZLHOLDINGS
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- weights: UNAVAILABLE
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- evals: none-this-run
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- - 6a91b990984507d9db4ea077
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- - 6a91bb7c984507d9db4ea0a4
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  ---
36
 
37
- # Chaski
38
 
39
- **One line.** Messenger LLM. Proposal-only drafts and honest refusals for the SZL controller.
 
40
 
41
- | | |
42
- |---|---|
43
- | **Artifact** | adapter (UNAVAILABLE on Hub) |
44
- | **Originality** | SZL fine-tune of a disclosed Apache Qwen instruct base |
45
- | **Base** | `Qwen/Qwen3.5-0.8B` (Apache-2.0, 0.6B–2B lock) |
46
- | **License** | `apache-2.0` |
47
- | **HF Jobs** | Attempt 5 RUNNING [`6a91bf10`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf1045686a1580c12105) (`report_to=none`, `upload_folder`). |
48
- | **Status** | CUTTING until files exist on the repo |
49
- | **Later SKU** | `A11OY-MINI` GGUF after adapters land. ROADMAP. A receipt is not a GGUF parent. |
50
- | **Sibling** | [`szl-receiptagent-qwen35-0.8b-v2`](https://huggingface.co/SZLHOLDINGS/szl-receiptagent-qwen35-0.8b-v2) |
51
 
52
- > **Fashion rule.** Silhouette from Qwen3 / Qwen3.5 instruct. Cut is original SZL. We do not republish someone else's tensors.
 
53
 
54
- The house CPU lab serves **Khipu GGUF**, not Chaski. Lab load forbidden.
 
 
 
 
55
 
56
- ## Intended use
57
 
58
- - **Who:** a11oy / Alloy controller, not an end-user chatbot
59
- - **What:** JSON drafts (`decision=DRAFT`, `approvalRequired=true`, `executed=false`) and doctrine-faithful UNKNOWN
60
- - **Where:** behind a validating controller. The weights propose. The controller gates.
61
 
62
- ## Evaluation
63
 
64
- **Status: none-this-run.** Not 5/5. Not 6/6. Quality is UNKNOWN.
65
 
66
- ## Training
67
 
68
- - **Recipe:** Unsloth QLoRA SFT. Script: `train_chaski.py`. Loads **only** `szl_dataset.jsonl`. `report_to=none` (Trackio 404 was poisoning Hub uploads).
69
- - **Attempt 5 RUNNING:** [`6a91bf1045686a1580c12105`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf1045686a1580c12105).
70
- - **Attempt 4 ERROR after train:** [`6a91bb7c984507d9db4ea0a4`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bb7c984507d9db4ea0a4). Loss MEASURED `1.7844666938763112` (64/64). Merge ran. `upload_folder` failed: Trackio 404 `betterwithage/trackio-bucket`. Safetensors UNAVAILABLE.
71
- - **Attempt 3 COMPLETED, no weights:** [`6a91ba00984507d9db4ea07f`](https://huggingface.co/jobs/SZLHOLDINGS/6a91ba00984507d9db4ea07f). Loss MEASURED `1.782708187121898`. Receipt only.
72
- - **Attempts 1–2 FAILED:** CastError; pyyaml 30s timeout.
73
- - **Trackio:** 404. No dashboard URL.
74
 
75
- ## Limitations
76
 
77
- - Narrow curriculum. Controller required. Λ = Conjecture 1. `publication_eligible: false`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ base_model: unsloth/Qwen3.5-0.8B
 
 
 
3
  library_name: transformers
4
+ model_name: chaski
 
5
  tags:
6
+ - generated_from_trainer
7
+ - trl
8
+ - hf_jobs
9
+ - unsloth
10
+ - sft
11
+ licence: license
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  ---
13
 
14
+ # Model Card for chaski
15
 
16
+ This model is a fine-tuned version of [unsloth/Qwen3.5-0.8B](https://huggingface.co/unsloth/Qwen3.5-0.8B).
17
+ It has been trained using [TRL](https://github.com/huggingface/trl).
18
 
19
+ ## Quick start
 
 
 
 
 
 
 
 
 
20
 
21
+ ```python
22
+ from transformers import pipeline
23
 
24
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
25
+ generator = pipeline("text-generation", model="SZLHOLDINGS/chaski", device="cuda")
26
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
27
+ print(output["generated_text"])
28
+ ```
29
 
30
+ ## Training procedure
31
 
32
+
 
 
33
 
 
34
 
35
+ This model was trained with SFT.
36
 
37
+ ### Framework versions
38
 
39
+ - TRL: 0.24.0
40
+ - Transformers: 5.5.0
41
+ - Pytorch: 2.11.0
42
+ - Datasets: 4.3.0
43
+ - Tokenizers: 0.22.2
 
44
 
45
+ ## Citations
46
 
47
+
48
+
49
+ Cite TRL as:
50
+
51
+ ```bibtex
52
+ @misc{vonwerra2022trl,
53
+ title = {{TRL: Transformer Reinforcement Learning}},
54
+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
55
+ year = 2020,
56
+ journal = {GitHub repository},
57
+ publisher = {GitHub},
58
+ howpublished = {\url{https://github.com/huggingface/trl}}
59
+ }
60
+ ```
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