初始化项目，由ModelHub XC社区提供模型

Model: RthItalia/PINDARO-AI-CODE
Source: Original Platform

README.md

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+---
+language:
+- en
+- it
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- llama
+- code
+- coding-assistant
+- gguf
+- instruct
+- 1b
+---
+
+# PINDARO AI CODE
+
+PINDARO AI CODE is the code-specialized release of the Pindaro model family.
+
+## Model At A Glance
+
+- Architecture: `LlamaForCausalLM`
+- Model type: `llama`
+- Approx. parameters: **~1.1B**
+- Precision: `float16`
+- Context length: `2048`
+- Vocabulary size: `32002`
+- Languages: English, Italian
+- Primary use: code generation and coding assistance
+
+## Included Artifacts
+
+Hugging Face format:
+- `model.safetensors`
+- `config.json`
+- `generation_config.json`
+- `tokenizer.json`
+- `tokenizer.model`
+- `tokenizer_config.json`
+- `special_tokens_map.json`
+- `added_tokens.json`
+
+GGUF format:
+- `pindaro-f16.gguf`
+- `pindaro-q4_k_m.gguf`
+
+Release docs:
+- `release/RELEASE_MANIFEST.json`
+- `release/RELEASE_NOTES.md`
+- `release/SHA256SUMS.txt`
+
+## Prompt Format
+
+Special tokens:
+- `<|noesis|>` (id `32000`)
+- `<|end|>` (id `32001`)
+
+Configured chat template uses role sections and appends a code-fence prefix in generation prompt:
+
+```jinja
+{{ bos_token }}{% for message in messages %}<|noesis|>
+{% if message['role'] == 'system' %}### System
+{{ message['content'] }}
+{% elif message['role'] == 'user' %}### Question
+{{ message['content'] }}
+{% elif message['role'] == 'assistant' %}### Answer
+{{ message['content'] }}
+{% endif %}<|end|>
+{% endfor %}{% if add_generation_prompt %}<|noesis|>
+### Answer
+```
+{% endif %}
+```
+
+Minimal manual prompt example:
+
+```text
+<|noesis|>
+### Question
+Write a Python function add(a, b).
+<|end|>
+<|noesis|>
+### Answer
+```
+```
+
+## Quickstart (Transformers)
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "RthItalia/PINDARO-AI-CODE"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+)
+
+messages = [
+    {"role": "system", "content": "You are a coding assistant."},
+    {"role": "user", "content": "Write a Python function add(a, b)."},
+]
+
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    return_tensors="pt",
+)
+
+attention_mask = torch.ones_like(inputs)
+outputs = model.generate(
+    inputs,
+    attention_mask=attention_mask,
+    max_new_tokens=120,
+    do_sample=False,
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=False))
+```
+
+## Quickstart (GGUF / llama.cpp)
+
+```bash
+./llama-cli -m pindaro-q4_k_m.gguf -p "<|noesis|>
+### Question
+Write a Python function add(a, b).
+<|end|>
+<|noesis|>
+### Answer
+```" -n 120
+```
+
+## Validation Snapshot
+
+Last internal validation snapshot: **2026-03-02**
+
+- HF smoke tests: PASS
+- HF mini-eval coding quality: **1.00**
+- GGUF F16 quality gate: PASS
+- GGUF Q4_K_M quality gate: PASS
+- Release verdict: **publishable: true**
+
+Notes:
+- Results are from internal sanity checks, not a full public benchmark suite.
+
+## Known Limitations
+
+- Generated code can be syntactically correct but logically wrong.
+- May emit verbose outputs or repeated scaffolding.
+- Always run tests and static checks on generated code.
+
+## Safety
+
+- Do not execute generated code in privileged environments without review.
+- Use sandboxing for untrusted snippets.
+- Add dependency and secret scanning in deployment workflows.
+
+## Artifact Checksums (SHA256)
+
+- `model.safetensors`: `f77c27b8babf9fcab83a7dc68ba58934e8c8c031c9f10b4b73e802d4fbfe0cec`
+- `config.json`: `b37c45060f3e2f5f9b91903c9ccb32f3c21076e809954fda6c01d987cd8f25cc`
+- `generation_config.json`: `6ff47e725c0ec6d0f1895670de7ee68e61a4f99703f6c8e89aea6ab14ea02dc3`
+- `tokenizer.json`: `51433f06369ac3e597dfa23a811215e3511b8f86588a830ded72344b76a193ee`
+- `tokenizer.model`: `9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347`
+- `tokenizer_config.json`: `a0567c49a117af9af332874cfd333ddd622a09c5e9765131ceee6344cb22a3de`
+- `special_tokens_map.json`: `d7805e093432afcde852968cdeba3de08a6fe66e77609f4701decb87fc492f33`
+- `added_tokens.json`: `ece349d292e246eac9a9072c1730f023e61567984a828fb0d25dccb14e3b7592`
+- `pindaro-f16.gguf`: `bdaaeb6fb712e9a4d952082cf415b05c7d076b33786d39063bbfb3a7e5db2031`
+- `pindaro-q4_k_m.gguf`: `5f98cc3454774ed5ed80d71a71adfd0daff760fc9eef0900ddd4f7eda2e20fef`