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LICENSE.md

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Llama-PLLuM-8B-instruct-ArtexIT-reasoning.Q5_K_M.gguf

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Llama-PLLuM-8B-instruct-ArtexIT-reasoning.Q8_0.gguf

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NOTICE

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+Llama 3.1 is licensed under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.

README.md

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+---
+language: [pl]
+license: llama3.1
+pipeline_tag: text-generation
+library_name: llama.cpp
+tags:
+  - gguf
+  - quantized
+  - q8_0
+  - f16
+base_model: ARTEXIT/Llama-PLLuM-8B-instruct-ArtexIT-reasoning
+base_model_relation: quantized
+quantization:
+  - Q8_0
+  - Q5_K_M
+---
+
+# Llama-PLLuM-8B-instruct-ArtexIT-reasoning
+
+**Built with Llama**
+
+This repository contains a GRPO fine‑tune of [`CYFRAGOVPL/Llama-PLLuM-8B-instruct`] trained on **GSM8K** (MIT).
+We publish both **Hugging Face (safetensors)** and **GGUF** artifacts (Q8_0, Q5_K_M) for use with `llama.cpp`.
+
+
+## What is this?
+- **Base**: Meta Llama 3.1 → PLLuM 8B Instruct (Polish) → GRPO fine‑tune (math / word problems).
+- **Context**: ~131k (based on GGUF header).
+- **Message format**: Llama `[INST] ... [/INST]` + explicit reasoning / answer tags (see below).
+- **Default chat template**: The tokenizer includes a default system instruction enforcing the two‑block format.
+
+
+## Prompt format
+
+The model expects Llama chat formatting and supports explicit tags:
+
+- **Reasoning**: `<think> ... </think>`  
+- **Final answer**: `<answer> ... </answer>`
+
+**Example**
+```text
+[INST] Rozwiąż: 12 * 13 = ? [/INST]
+<think>12*13 = 156.</think>
+<answer>156</answer>
+```
+
+## Quickstart
+
+### Transformers (PyTorch)
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+repo = "ARTEXIT/Llama-PLLuM-8B-instruct-ArtexIT-reasoning"
+tok = AutoTokenizer.from_pretrained(repo, use_fast=True)
+model = AutoModelForCausalLM.from_pretrained(repo, torch_dtype="auto", device_map="auto")
+
+prompt = tok.apply_chat_template(
+    [{"role": "user", "content": "Podaj 3 miasta w Polsce."}],
+    add_generation_prompt=True,
+    tokenize=False,
+)
+inputs = tok(prompt, return_tensors="pt").to(model.device)
+out = model.generate(**inputs, max_new_tokens=64)
+print(tok.decode(out[0], skip_special_tokens=False))
+```
+
+
+## Training (brief)
+
+- **Method**: GRPO (policy‑gradient reinforcement learning with multiple reward functions).
+- **Data**: `openai/gsm8k` — License: **MIT**.
+- **Goal**: consistent two‑block outputs (reasoning + final answer) using the training tags.
+
+
+## License & Attribution
+
+This repository contains derivatives of **Llama 3.1** and **PLLuM**:
+
+- **Llama 3.1 Community License** applies. When redistributing, you must:
+  - include a copy of the license and **prominently display “Built with Llama”**,
+  - include **“Llama” at the beginning of any distributed model’s name** if it was created, trained or fine‑tuned using Llama materials,
+  - keep a **NOTICE** file with the following line:  
+    `Llama 3.1 is licensed under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.`
+  - comply with the **Acceptable Use Policy (AUP)**.
+- **PLLuM**: please cite the PLLuM work (see **Citation** below).
+- **Data**: GSM8K is MIT‑licensed; include dataset attribution.
+
+This repo includes:
+- `LICENSE` — full text of the **Llama 3.1 Community License**
+- `USE_POLICY.md` — pointer to the official **Acceptable Use Policy**
+- `NOTICE` — required Llama attribution line
+
+> If your (or your affiliates’) products exceeded **700M monthly active users** on the Llama 3.1 release date, you must obtain a separate license from Meta before exercising the rights in the Llama 3.1 license.
+
+
+## Citation
+
+If you use PLLuM in research or deployments, please cite:
+
+```bibtex
+@unpublished{pllum2025,
+    title={PLLuM: A Family of Polish Large Language Models},
+    author={PLLuM Consortium},
+    year={2025}
+}
+```

USE POLICY.md

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+# Llama 3.1 Acceptable Use Policy (AUP)
+
+This repository distributes a model derived from Llama 3.1. By accessing or using this model, you agree to the Llama 3.1 Acceptable Use Policy.
+
+**The most recent, authoritative copy of the AUP is maintained by Meta at:**
+https://llama.meta.com/llama3_1/use-policy
+
+For convenience only (non-exhaustive summary), the AUP requires responsible and lawful use and prohibits, among other things, uses that:
+- Violate laws or regulations;
+- Exploit, harm, or endanger people (including harassment, discrimination, or incitement to violence);
+- Infringe privacy or intellectual property rights;
+- Facilitate creation or distribution of malicious code or high-risk illegal activities.
+
+If this summary conflicts with the official AUP, **the official AUP controls**. Please read the full AUP at the link above before using the model.