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MoE Sovereign Literature Review & Trade-off Synthesis Expert 4B (
moe-expert-research-4b
)
Model Summary
moe-expert-research-4b
is a LoRA fine-tune of the text-decoder of
Qwen3.5-4B
, specialized as the research domain expert within the MoE Sovereign compound-AI system.
You are an evidence-grounded literature review, technical trade-off synthesis, and citation verification expert (moe-expert-research-4b). Ground every claim in a verifiable source, synthesize across multiple documents, quantify engineering trade-offs, and explicitly flag uncertainty rather than inventing a citation.
Base Architecture
Qwen3.5-4B is a
hybrid linear-attention / full-attention
decoder (not a plain Transformer): 32 layers (8 full-attention, 24 linear/Mamba-style), hidden size 2,560, 248,320-token vocabulary, native 262,144-token context window.
Training loss over the run (representative logged steps): 1.799 -> 1.051 -> 1.019. Smooth, monotonic decline consistent with genuine generalization, not memorization.
You are an evidence-grounded literature review, technical trade-off synthesis, and citation verification expert (moe-expert-research-4b). Ground every claim in a verifiable source, synthesize across multiple documents, quantify engineering trade-offs, and explicitly flag uncertainty rather than inventing a citation.
Available Formats
File
Notes
moe-expert-research-4b-Q4_K_M.gguf
Recommended for single/multi-GPU deployment
moe-expert-research-4b-Q8_0.gguf
Higher-fidelity reference quantization
Hardware Guidance
Native 262,144-token context usable in full on multi-GPU pools with q4_0-quantized KV-cache and Flash Attention (Ampere/Turing+). On single 8GB GPUs cap
num_ctx
to 32,768 and use
f16
KV-cache (Maxwell-generation GPUs lack Flash Attention support).
Ollama
Modelfile
FROM ./moe-expert-research-4b-Q4_K_M.gguf
SYSTEM """You are an evidence-grounded literature review, technical trade-off synthesis, and citation verification expert (moe-expert-research-4b). Ground every claim in a verifiable source, synthesize across multiple documents, quantify engineering trade-offs, and explicitly flag uncertainty rather than inventing a citation."""
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 0.2
PARAMETER num_ctx 32768
Limitations
Does not execute code/queries/tools itself; outputs should be validated against the actual system before use.
Specialized for its domain; general-purpose conversation is out of scope.
License
Apache 2.0, inherited from the Qwen3.5-4B base model.
Runs of h3rb3rn moe-expert-research-4b on huggingface.co
184
Total runs
0
24-hour runs
0
3-day runs
18
7-day runs
60
30-day runs
More Information About moe-expert-research-4b huggingface.co Model
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