Introduction of ayncoding-qwen2.5-coder-1.5b-instruct
Model Details of ayncoding-qwen2.5-coder-1.5b-instruct
AynCoding-Qwen2.5-Coder-1.5B-Instruct: Sovereign Epistemic Logic & Code Synthesis (Transformers Checkpoint)
AynCoding-Qwen2.5-Coder-1.5B-Instruct
(
enver/ayncoding-qwen2.5-coder-1.5b-instruct
) is a full PyTorch / Safetensors Hugging Face
transformers
checkpoint for the sovereign Classical Arabic Logic (
Mantiq
) coding model.
It is loadable via standard
AutoModelForCausalLM.from_pretrained("enver/ayncoding-qwen2.5-coder-1.5b-instruct")
and compatible with all automated evaluation harnesses (
lm-evaluation-harness
,
lighteval
, vLLM, SGLang, and TGI).
Benchmark Highlights
Benchmark
Score
OpenAI HumanEval (Pass@1)
78.4%
Epistemic Invariant Retention
94.2%
AST Syntactic Validity
98.0%
Weight Format
Standard bfloat16 Safetensors
Quick Start via Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "enver/ayncoding-qwen2.5-coder-1.5b-instruct"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto")
prompt = "Build a thread-safe distributed rate limiter with Ghazalian invariants."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Runs of enver ayncoding-qwen2.5-coder-1.5b-instruct on huggingface.co
161
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About ayncoding-qwen2.5-coder-1.5b-instruct huggingface.co Model
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