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

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+pindaro-f16.gguf filter=lfs diff=lfs merge=lfs -text
+pindaro-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text

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`

added_tokens.json

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+{
+  "<|end|>": 32001,
+  "<|noesis|>": 32000
+}

config.json

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+{
+  "_name_or_path": "/kaggle/working/pindaro-final",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.40.0",
+  "use_cache": true,
+  "vocab_size": 32002
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 2,
+  "transformers_version": "4.40.0"
+}

model.safetensors

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+size 2200136048

pindaro-f16.gguf

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pindaro-q4_k_m.gguf

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+size 667820928

release/RELEASE_MANIFEST.json

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+{
+  "release_date": "2026-03-02 23:33:21",
+  "model": "PINDARO-AI-CODE",
+  "source_path": "e:\\Pindaro\\PINDARO AI CODE",
+  "publishable": true,
+  "verdict": {
+    "hf_ok": true,
+    "gguf_f16_ok": true,
+    "gguf_q4_ok": true,
+    "publishable": true,
+    "thresholds": {
+      "hf_quality_min": 0.8,
+      "gguf_quality_min": 0.67
+    }
+  },
+  "artifacts": {
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+    },
+    "config.json": {
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+      "sha256": "b37c45060f3e2f5f9b91903c9ccb32f3c21076e809954fda6c01d987cd8f25cc"
+    },
+    "generation_config.json": {
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+      "sha256": "6ff47e725c0ec6d0f1895670de7ee68e61a4f99703f6c8e89aea6ab14ea02dc3"
+    },
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+      "sha256": "5f98cc3454774ed5ed80d71a71adfd0daff760fc9eef0900ddd4f7eda2e20fef"
+    }
+  },
+  "paths": {
+    "root": "e:\\Pindaro\\PINDARO AI CODE",
+    "gguf_f16": "e:\\Pindaro\\PINDARO AI CODE\\pindaro-f16.gguf",
+    "gguf_q4": "e:\\Pindaro\\PINDARO AI CODE\\pindaro-q4_k_m.gguf"
+  }
+}

release/RELEASE_NOTES.md

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+# Release Notes - PINDARO-AI-CODE
+
+Date: 2026-03-02 23:33:21
+Source: e:\Pindaro\PINDARO AI CODE
+
+## Verdict
+- Publishable: True
+- HF OK: True
+- GGUF F16 OK: True
+- GGUF Q4_K_M OK: True
+
+## Quality Rates
+- HF: 1.00
+- GGUF F16: 1.00
+- GGUF Q4_K_M: 1.00
+
+## Included Artifact Checksums
+- 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

release/SHA256SUMS.txt

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|noesis|>",
+    "<|end|>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|noesis|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|noesis|>",
+    "<|end|>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}<|noesis|>\n{% if message['role'] == 'system' %}### System\n{{ message['content'] }}\n{% elif message['role'] == 'user' %}### Question\n{{ message['content'] }}\n{% elif message['role'] == 'assistant' %}### Answer\n{{ message['content'] }}\n{% endif %}<|end|>\n{% endfor %}{% if add_generation_prompt %}<|noesis|>\n### Answer\n```\n{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "max_length": 512,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "stride": 0,
+  "tokenizer_class": "LlamaTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}