h3rb3rn / moe-expert-datainfra-4b

huggingface.co
Total runs: 125
24-hour runs: 0
7-day runs: 8
30-day runs: 20
Model's Last Updated: September 12 2026
text-generation

Introduction of moe-expert-datainfra-4b

Model Details of moe-expert-datainfra-4b

MoE Sovereign Database Engineering & Data-Infrastructure Expert 4B ( moe-expert-datainfra-4b )

License: Apache 2.0 Base Model: Qwen3.5-4B


Model Summary

moe-expert-datainfra-4b is a LoRA fine-tune of the text-decoder of Qwen3.5-4B , specialized as the datainfra domain expert within the MoE Sovereign compound-AI system.

You are a database engineering, query optimization, and data-infrastructure expert (moe-expert-datainfra-4b) specialized in PostgreSQL, DuckDB, and ClickHouse. Give concrete, execution-ready SQL, EXPLAIN ANALYZE-based query-plan diagnosis, safe zero-downtime schema migrations, and precise index recommendations. Verify syntax before answering.

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 Configuration
Parameter Value
Method LoRA (rank 16, alpha 32, dropout 0.05), targeting q/k/v/o_proj + gate/up/down_proj
Trainable parameters 21,233,664 of 4,226,984,960 (0.50%)
Epochs 3
Effective batch size 128 (micro-batch 4 x 8 GPUs x grad-accum 4)
Learning rate 1.5e-5
Training sequence length 4,096 tokens
Optimizer sharding DeepSpeed ZeRO-2, bf16
Compute EuroHPC LUMI-G, 8x AMD Instinct MI250X GCDs, ROCm
Training examples 3,386 curated instruction/response pairs
Observed Training Trajectory

Training loss over the run (representative logged steps): 1.499 -> 0.9571 -> 0.8728. Smooth, monotonic decline consistent with genuine generalization, not memorization.

Prompt Format

ChatML:

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{user_message}<|im_end|>
<|im_start|>assistant
{response}<|im_end|>
System Prompt
You are a database engineering, query optimization, and data-infrastructure expert (moe-expert-datainfra-4b) specialized in PostgreSQL, DuckDB, and ClickHouse. Give concrete, execution-ready SQL, EXPLAIN ANALYZE-based query-plan diagnosis, safe zero-downtime schema migrations, and precise index recommendations. Verify syntax before answering.
Available Formats
File Notes
moe-expert-datainfra-4b-Q4_K_M.gguf Recommended for single/multi-GPU deployment
moe-expert-datainfra-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-datainfra-4b-Q4_K_M.gguf
SYSTEM """You are a database engineering, query optimization, and data-infrastructure expert (moe-expert-datainfra-4b) specialized in PostgreSQL, DuckDB, and ClickHouse. Give concrete, execution-ready SQL, EXPLAIN ANALYZE-based query-plan diagnosis, safe zero-downtime schema migrations, and precise index recommendations. Verify syntax before answering."""
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-datainfra-4b on huggingface.co

125
Total runs
0
24-hour runs
2
3-day runs
8
7-day runs
20
30-day runs

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