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ringollm-v42
RingoSystems/ringollm-v42
ringollm-v42 is a text generation model from RingoSystems. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as apache-2.0.
A LoRA fine-tune of unsloth/Qwen3.6-27B specialised for Windows endpoint management: DSC v3, DSC Legacy, PowerShell 7, Intune deployment (Settings Catalog, OMA-URI, IME, Win32 packaging, Proactive Remediations) and en…
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At a glance
- Task
- Text Generation
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026
- SHA
- dfcb08f0
Try a prompt
Base models
Model card
From the Hugging Face model README
ringollm-v42
A LoRA fine-tune of unsloth/Qwen3.6-27B specialised for Windows endpoint management: DSC v3, DSC Legacy, PowerShell 7, Intune deployment (Settings Catalog, OMA-URI, IME, Win32 packaging, Proactive Remediations) and endpoint-side Entra ID diagnostics.
Quantized to Q5_K_M for llama.cpp.
Why this exists
Earlier releases emitted securityContext: Elevated in DSC v3 documents. That is
schema-invalid. dsc-lib's SecurityContextKind is declared
#[serde(rename_all = "camelCase")], so only current, elevated and restricted
deserialize — the PascalCase form fails outright. Microsoft Learn's ValidValues table
lists the capitalised spellings and is wrong. This release emits the lowercase enum.
Measured results
| metric | ringollm-v4 | ringollm-v42 |
|---|---|---|
| rubric checks passed | 110/129 (85.3%) | 112/129 (86.8%) |
| questions passed | 14/25 (56.0%) | 17/25 (68.0%) |
| securityContext valid / invalid | 0 / 6 | 8 / 0 |
| median tok/s | 11.26 | 11.29 |
Usage
llama.cpp:
llama-server -m RingoLLM-v42-qwen35-27B-Q5_K_M.gguf \
--jinja --chat-template-file ringollm-v42.jinja \
-ngl 999 -fa on -np 1 \
-c 65536 --cache-type-k q8_0 --cache-type-v q8_0 --kv-unified \
--temp 0.3 --top-p 0.9 --repeat-penalty 1.15 --repeat-last-n 256
Ollama:
ollama create ringollm-v42 -f Modelfile
ollama run ringollm-v42
Serving parameters, and why
| flag | value | why it matters |
|---|---|---|
--chat-template-file | ringollm-v42.jinja | Required. Ships in this repo. It injects the default system prompt that defines scope and the refusal format. Without it the model loses all refusal behaviour. |
--kv-unified | on | Stability, not tuning. On RADV / AMD Strix Halo this architecture hard-hangs the GPU on prompts past ~20k tokens without it — vk::Queue::submit: ErrorDeviceLost, an amdgpu ring timeout, and a reset that takes down unrelated processes. Upstream issue closed as not-planned, so there is no fix to wait for. Harmless on other backends; leave it on. |
--cache-type-k/v | q8_0 | Pairs with --kv-unified to make long contexts affordable and stable. |
-c | 65536 | Observed real-world high-water is ~26k tokens. |
-np | 1 | Recurrent state is allocated per slot; more slots divide the usable context. |
-fa | on | Flash attention. |
--temp / --top-p | 0.3 / 0.9 | What the model was evaluated with. |
--repeat-penalty / --repeat-last-n | 1.15 / 256 | As evaluated. |
Prompting
The chat template injects a default system prompt when the caller supplies none. It defines the scope and the refusal format for out-of-scope questions, so omit the system message unless you intend to replace that behaviour entirely.
Training data
All training pairs are derived from Microsoft documentation, the DSC resource registry and the published JSON schemas via deterministic builders. No LLM-generated text is present in the training data.
Limitations
- Scoped to Windows endpoint management. It is instructed to refuse elsewhere, and will.
- Served with reasoning suppressed; the template pre-closes the
<think>block. - Quantized to Q5_K_M; expect small deviations from the full-precision merge.
- Task
- Text Generation
- Library
- gguf
- License
- apache-2.0
- Languages
- en
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026