Quantized GGUF releases of
Atlas-Coder-2-0.5B
, optimized for
llama.cpp
,
Ollama
, and
LM Studio
.
🏆 EvalPlus Strict Benchmarks
Atlas-Coder-2 is a
0.5B parameter coding model
fine-tuned on
50,000 execution-verified Python programming samples
.
Despite its compact size, it achieves
state-of-the-art performance among strictly sub-1B coding models
on the EvalPlus benchmark suite.
Benchmark
Atlas-Coder-2
Qwen2.5-Coder-0.5B
DeepSeek-Coder-1.3B
Llama-3.2-1B
HumanEval+
36.6% 🥇
34.1%
35.4%
12.2%
MBPP+
43.9% 🥇
42.1%
39.8%
25.6%
Evaluation:
EvalPlus (Pass@1, Greedy Decoding)
📦 Available Quantizations
File
Quantization
Size
Recommended For
Atlas-Coder-2-0.5B-F16.gguf
F16
948 MB
Maximum accuracy & benchmarking
Atlas-Coder-2-0.5B-Q8_0.gguf
Q8_0
506 MB
Near-lossless inference
Atlas-Coder-2-0.5B-Q6_K.gguf
Q6_K
482 MB
Best quality / size balance
Atlas-Coder-2-0.5B-Q5_K_M.gguf
Q5_K_M
401 MB
Recommended for most users ⭐
Atlas-Coder-2-0.5B-Q4_K_M.gguf
Q4_K_M
379 MB
Low-memory devices
🚀 Quick Start
Ollama
Create a file named
Modelfile
FROM ./Atlas-Coder-2-0.5B-Q5_K_M.gguf
SYSTEM "You are Atlas-Coder, an elite AI coding assistant. You write clean, efficient, and well-documented Python code."
PARAMETER temperature 0.2
PARAMETER top_p 0.95
PARAMETER repeat_penalty 1.1
PARAMETER stop "<|im_start|>"
PARAMETER stop "<|im_end|>"
Create the model:
ollama create atlas-coder-2 -f Modelfile
Run:
ollama run atlas-coder-2 "Write a Python function to check whether a string is a palindrome."
LM Studio
Open
LM Studio
Search for
Siddh07ETH/Atlas-Coder-2-0.5B-GGUF
Download
Q5_K_M
or
Q6_K
Load the model and start coding.
llama.cpp
./llama-cli \
-m Atlas-Coder-2-0.5B-Q5_K_M.gguf \
-p "<|im_start|>system\nYou are a helpful coding assistant.<|im_end|>\n<|im_start|>user\nWrite a Python binary search implementation.<|im_end|>\n<|im_start|>assistant\n" \
-n 512 \
--temp 0.2 \
--top-p 0.95 \
--repeat-penalty 1.1
💬 Chat Template
Atlas-Coder-2 uses the standard
ChatML
prompt format.
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