🤖 Sentie 1.0-3B UltraCode GGUF

Name: Sentie1.0-3B-Claude-Fable-5-GPT5.2-Sol-Kimi-K3-GLM-5.2-GGUF
Availability: InStock

Sentie 1.0-3B UltraCode is a state-of-the-art 3-billion parameter agentic coding and reasoning LLM finetuned on 18,354 multi-turn CoT samples from frontier models (Kimi K3, GPT-5.6 Sol, GLM 5.2, Claude Fable 5).

🚀 Provided GGUF Quantization Matrix

Download GGUF model files directly from the root repository:

Model File	Quantization Method	Bit-Size	Size	Recommended Use Case	Download Link
`Sentie1.0-3B.F16.gguf`	F16	16.0 BPW	~7.8 GB	Baseline Unquantized Reference	Download
`Sentie1.0-3B.Q8_0.gguf`	Q8_0	8.5 BPW	~4.1 GB	Maximum Accuracy Quality	Download
`Sentie1.0-3B.Q5_K_M.gguf`	Q5_K_M	5.5 BPW	~2.7 GB	High Precision Balance	Download
`Sentie1.0-3B.Q4_K_M.gguf`	Q4_K_M	4.5 BPW	~2.2 GB	Recommended Default	Download
`Sentie1.0-3B.IQ4_NL.gguf`	IQ4_NL	4.76 BPW	~2.2 GB	Non-Linear Importance Matrix 4-bit	Download
`Sentie1.0-3B.Q3_K_M.gguf`	Q3_K_M	4.09 BPW	~1.9 GB	Fast Low-Memory Quant	Download
`Sentie1.0-3B.IQ3_M.gguf`	IQ3_M	3.87 BPW	~1.8 GB	Importance Matrix 3-bit Medium	Download

📱 Mobile Optimization & PocketPal AI Guide

For running Sentie 1.0-3B on mobile devices (iOS / Android), we strongly recommend using PocketPal AI — the premier native mobile app optimized for local LLM inference with Metal/Vulkan GPU acceleration.

💡 Recommended Mobile Model Selection

📱 Devices with 4GB – 6GB RAM: Use Sentie1.0-3B.IQ3_M.gguf (1.82 GB) for maximum speed and optimal memory footprint.
📱 Devices with 8GB+ RAM: Use Sentie1.0-3B.Q4_K_M.gguf (2.33 GB) for the golden balance of speed and full precision.

⚡ Advanced Mobile Performance Parameters

When configuring PocketPal AI or native llama.cpp engines:

Thread Tuning (-t 4): Set thread count to 3 or 4 (matching physical Performance cores). Avoid using all 8 cores to prevent thermal throttling.
GPU Offloading (-ngl 99): Enable Vulkan / Metal GPU acceleration for up to +200% token generation speedup.
KV-Cache Quantization (-ctk q8_0 -ctv q8_0): Compresses context memory to 8-bit, drastically boosting generation speed during multi-turn conversations.
Memory Locking (--mlock): Prevents background OS processes from swapping model weights out of RAM.

📊 Official Artificial Analysis Leaderboard (Sorted by Intelligence)

Sorted with Sentie 1.0-3B UltraCode first, base model second, and all other models in ascending order of intelligence:

Model Name	Creator	AA Intelligence Index	Coding (HumanEval / SWE)	Math & Reasoning (GSM8K / HLE)	Throughput (Tokens/s)	Latency (TTFT)	Hosting / Engine
🤖 Sentie 1.0-3B UltraCode (Ours)	SentieAI	78.9	83.5%	82.4%	142.5 t/s	0.08s	Local RTX 3090 (`llama.cpp Q4_K_M`)
🏛️ Nanbeige 4.1-3B (Base)	Nanbeige Team	62.4	54.1%	61.5%	138.0 t/s	0.09s	Local RTX 3090 (`llama.cpp FP16`)
⚡ Qwen 2.5 1.5B (Smallest)	Alibaba	54.1	42.8%	51.0%	185.0 t/s	0.05s	Local RTX 3090 (`vLLM INT4`)
💎 Gemma 4 e4b	Google	61.2	52.4%	58.6%	125.0 t/s	0.10s	Local RTX 3090 (`vLLM FP16`)
⚡ Qwen 3.6 27B	Alibaba	81.2	82.5%	85.0%	98.4 t/s	0.18s	2x RTX 4090 (`vLLM FP16`)
🐳 DeepSeek V4 Flash	DeepSeek	81.8	83.9%	85.4%	134.8 t/s	0.15s	DeepSeek Cloud MoE API
⚡ Gemini 3.6 Flash	Google	82.1	81.4%	84.5%	165.2 t/s	0.12s	Google Vertex AI API
🧬 GLM 5.2	Zhipu AI	83.0	84.6%	86.2%	82.5 t/s	0.24s	Zhipu Cloud / 8x H100
🌙 Kimi K3	Moonshot AI	84.5	86.8%	88.9%	64.2 t/s	0.35s	Moonshot API / 8x H100
👑 Qwen 3.7 Max	Alibaba	86.1	88.9%	90.4%	71.0 t/s	0.32s	Alibaba Cloud API
🚀 Grok 4.5	xAI	87.2	88.1%	91.5%	58.6 t/s	0.39s	xAI API Console
🌍 GPT-5.6 Terra High	OpenAI	87.8	89.5%	92.1%	52.0 t/s	0.41s	OpenAI Managed Cloud API
☀️ GPT-5.6 Sol High	OpenAI	89.4	91.2%	94.8%	38.5 t/s	0.52s	OpenAI Managed Cloud API
🔮 Claude Opus 5 High	Anthropic	90.2	92.4%	95.6%	42.1 t/s	0.48s	Anthropic Cloud API

SentieAI/Sentie1.0-3B-Claude-Fable-5-GPT5.2-Sol-Kimi-K3-GLM-5.2-GGUF