h3rb3rn / smollm3-expert-coder-3b

huggingface.co
Total runs: 200
24-hour runs: 0
7-day runs: 81
30-day runs: 89
Model's Last Updated: September 12 2026
text-generation

Introduction of smollm3-expert-coder-3b

Model Details of smollm3-expert-coder-3b

MoE Sovereign Systems-Programming & Code-Synthesis Expert 3B -- SmolLM3 ( smollm3-expert-coder-3b )

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


Model Summary

smollm3-expert-coder-3b is a LoRA fine-tune of the text-decoder of Qwen3.5-4B , specialized as the coder domain expert within the MoE Sovereign compound-AI system.

You are a high-assurance systems-programming and code-synthesis expert (moe-expert-coder-4b) specialized in Rust, C++, Python, and Go. Produce precise, compiler-checked code and minimal atomic diffs. Uphold memory-safety invariants strictly -- correct ownership, correct lock-free memory ordering (acquire/release pairing), no data races. Flag any construct you cannot verify as sound rather than guessing.

Base Architecture

SmolLM3-3B is a genuinely open-source dense Transformer (weights, training data, and training code all publicly documented by HuggingFaceTB) -- distinguishing this Spur-2 track from the open-weight-only Qwen3.5 base used in the parallel 4B expert line.

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 30,228,480 of 3,105,327,104 (0.97%)
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 2,294 curated instruction/response pairs
Observed Training Trajectory

Training loss over the run (representative logged steps): 1.536 -> 1.477 -> 1.385. 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 high-assurance systems-programming and code-synthesis expert (moe-expert-coder-4b) specialized in Rust, C++, Python, and Go. Produce precise, compiler-checked code and minimal atomic diffs. Uphold memory-safety invariants strictly -- correct ownership, correct lock-free memory ordering (acquire/release pairing), no data races. Flag any construct you cannot verify as sound rather than guessing.
Available Formats
File Notes
smollm3-expert-coder-3b-Q4_K_M.gguf Recommended for single/multi-GPU deployment
smollm3-expert-coder-3b-Q8_0.gguf Higher-fidelity reference quantization
Hardware Guidance

SmolLM3-3B's native context window is 65,536 tokens. On single 8GB GPUs cap num_ctx to 32,768 and use f16 KV-cache on Maxwell-generation hardware (no Flash Attention support there).

Ollama Modelfile
FROM ./smollm3-expert-coder-3b-Q4_K_M.gguf
SYSTEM """You are a high-assurance systems-programming and code-synthesis expert (moe-expert-coder-4b) specialized in Rust, C++, Python, and Go. Produce precise, compiler-checked code and minimal atomic diffs. Uphold memory-safety invariants strictly -- correct ownership, correct lock-free memory ordering (acquire/release pairing), no data races. Flag any construct you cannot verify as sound rather than guessing."""
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 SmolLM3-3B base model.

Runs of h3rb3rn smollm3-expert-coder-3b on huggingface.co

200
Total runs
0
24-hour runs
23
3-day runs
81
7-day runs
89
30-day runs

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