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h3rb3rn/sovereign-judge-27b
sovereign-judge-27b is a text generation model from h3rb3rn. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Evaluation, Verification & Synthesis Authority
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From the Hugging Face model README
sovereign-judge-27b)Evaluation, Verification & Synthesis Authority
sovereign-judge-27b is a LoRA fine-tune of the text-decoder of Qwen3.8-27B, specialized as the evaluation and synthesis authority within the MoE Sovereign compound-AI system: it checks the quality, factual consistency, and code-level correctness of outputs produced by the Planner and Expert models, and either confirms them or produces a corrected result.
This is the Spur-1 (open-weight) judge, trained on a text-only backbone extracted from the multimodal Qwen3.8-27B checkpoint (Qwen3_5ForConditionalGeneration -> Qwen3_5ForCausalLM). The parallel Spur-2 (open-source) judge uses OLMo-3.1-32B on the same critic-format dataset.
Qwen3.8-27B is a hybrid linear-attention / full-attention decoder, extracted to a text-only Qwen3_5ForCausalLM backbone (vision tower and MTP head dropped) for compatibility with standard causal-LM fine-tuning.
| Parameter | Value |
|---|---|
| Method | LoRA (rank 16, alpha 32, dropout 0.05), targeting q/k/v/o_proj + gate/up/down_proj |
| Trainable parameters | 79,691,776 of 26,975,690,240 (0.30%) |
| Epochs | 3 |
| Effective batch size | 128 (micro-batch 1 x 8 GPUs x grad-accum 16) |
| Learning rate | 1.0e-5 |
| Training sequence length | 4,096 tokens |
| Optimizer sharding | DeepSpeed ZeRO-3, bf16 (required at this parameter count -- ZeRO-2 leaves the full bf16 weight replica on every GPU, which does not fit alongside activations on a 64GB-per-GCD MI250X node) |
| Compute | EuroHPC LUMI-G, 8x AMD Instinct MI250X GCDs, ROCm |
| Training examples | 2,638 curated critic-format examples |
Training examples follow a critic format: a QUESTION (a request as another expert would receive it) paired with an ANSWER TO CHECK (a candidate response). The target output is either the bare word CONFIRMED (the candidate answer is already correct and complete) or a corrected, complete replacement answer.
Training loss: 4.423 -> 2.340 -> 1.181 -> 0.882. Smooth, monotonic decline across the run.
ChatML:
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{user_message}<|im_end|>
<|im_start|>assistant
{response}<|im_end|>
You are the Sovereign Judge, the primary evaluation and synthesis authority in the MoE Sovereign compound AI platform. Evaluate input quality, factual consistency, code invariants, and safety with maximum precision. Respond with the single word CONFIRMED if the candidate answer is correct and complete; otherwise respond with only the corrected answer, with no preamble.
QUESTION:
<the original request>
ANSWER TO CHECK:
<the candidate response to verify>
| File | Notes |
|---|---|
sovereign-judge-27b-Q4_K_M.gguf | Recommended for multi-GPU pool deployment |
sovereign-judge-27b-Q8_0.gguf | Higher-fidelity reference quantization |
Largest model in the Spur-1 lineup -- requires a multi-GPU pool, not a single 8GB card. Q4_K_M needs roughly 17GB of VRAM for weights alone, plus KV-cache headroom. Native context is inherited from Qwen3.8 (262,144 tokens); on Maxwell-generation GPUs (no Flash Attention), use f16 KV-cache and a reduced num_ctx.
ModelfileFROM ./sovereign-judge-27b-Q4_K_M.gguf
SYSTEM """You are the Sovereign Judge, the primary evaluation and synthesis authority in the MoE Sovereign compound AI platform. Evaluate input quality, factual consistency, code invariants, and safety with maximum precision. Respond with the single word CONFIRMED if the candidate answer is correct and complete; otherwise respond with only the corrected answer, with no preamble."""
TEMPLATE """{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ .Response }}<|im_end|>"""
PARAMETER stop "<|im_end|>"
PARAMETER temperature 0.1
PARAMETER num_ctx 32768
CONFIRMED as a mathematical proof of correctness for high-stakes decisions.Apache 2.0, inherited from the Qwen3.8-27B base model.