Create README.md

README.md

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+---
+tags:
+- sft
+- it
+- mistral
+- chatml
+- axolotl
+model-index:
+- name: maestrale-chat-v0.3-beta
+  results: []
+license: cc-by-nc-4.0
+language:
+- it
+prompt_template: >-
+  <|im_start|>system {system_message}<|im_end|> <|im_start|>user
+  {prompt}<|im_end|> <|im_start|>assistant
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/ITs0WjZ.jpg" alt="Mii-LLM" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-end;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://buy.stripe.com/8wM00Sf3vb3H3pmfYY">Want to contribute? Please donate! This will let us work on better datasets and models!</a></p>
+    </div>
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+
+# Maestrale chat beta ༄
+
+By @efederici and @mferraretto
+
+## Model description
+
+- **Language Model**: Mistral-7b for the Italian language, continued pre-training for Italian on a curated large-scale high-quality corpus.
+- **Fine-Tuning**: SFT performed on convs/instructions for three epochs.
+
+**v0.3**
+- Function calling
+- Reduced default system prompt to avoid wasting tokens (pre-alignment)
+
+This model uses ChatML prompt format:
+```
+<|im_start|>system
+Sei un assistente utile.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Usage:
+```python
+from transformers import (
+    AutoTokenizer, 
+    AutoModelForCausalLM, 
+    GenerationConfig,
+    TextStreamer
+)
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("mii-llm/maestrale-chat-v0.3-beta")
+model = AutoModelForCausalLM.from_pretrained("mii-llm/maestrale-chat-v0.3-beta", load_in_8bit=True, device_map="auto")
+
+gen = GenerationConfig(
+    do_sample=True,
+    temperature=0.7,
+    repetition_penalty=1.2,
+    top_k=50,
+    top_p=0.95,
+    max_new_tokens=500,
+    pad_token_id=tokenizer.eos_token_id,
+    eos_token_id=tokenizer.convert_tokens_to_ids("<|im_end|>")
+)
+
+messages = [
+    {"role": "system", "content": "Sei un assistente utile."},
+    {"role": "user", "content": "{prompt}"}
+]
+
+with torch.no_grad(), torch.backends.cuda.sdp_kernel(
+    enable_flash=True, 
+    enable_math=False,
+    enable_mem_efficient=False
+):
+    temp = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    inputs = tokenizer(temp, return_tensors="pt").to("cuda")
+
+    streamer = TextStreamer(tokenizer, skip_prompt=True)
+
+    _ = model.generate(
+        **inputs,
+        streamer=streamer,
+        generation_config=gen
+    )
+```
+
+## Intended uses & limitations
+
+It's an alpha version, it's not `aligned`. It's a first test. We are working on alignment data and evals.
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)