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Model: TSjB/QM-4B
Source: Original Platform

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README.md

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+---
+base_model: TSjB/QM-4B-embeddings-only
+library_name: transformers
+model_name: QM-4B
+tags:
+- qarachay-malqar
+- caucasian-languages
+- turkic-languages
+- karachay-balkar
+- multilingual
+- trl
+- sft
+- unsloth
+language:
+- krc
+- ru
+- en
+license: cc-by-nc-sa-4.0
+---
+
+# QM-4B: with Qarachay-Malqar Language
+
+A model based on Qwen3-4B-Instruct-2507, fine-tuned to support the Qarachay-Malqar language.
+
+## Description
+
+QM-4B is a language model built on Qwen3-4B-Instruct-2507 with an extended tokenizer and fine-tuning for Qarachay-Malqar language support (къарачай-малкъар тил).
+
+### Training Stages:
+
+1. **Tokenizer expansion** — added tokens for Qarachay-Malqar: replacement from 150k to 130k tokens (tokenizer trained in Qarachay-Malqar (76.5%), English (11.5%), Russian (11.5%) and Circassian (5%)) (the number of symbols/tokens has been increased in Qarachay-Malqar compared to the original tokenizer: 1.78 -> 5.38)
+2. **Embeddings-only Training** — training only embedding layers (3 epochs, LR=2e-4)
+3. **Full Fine-Tune** — full fine-tuning of all model layers (1 epoch, LR=5e-6)
+
+## Training Metrics
+
+| Stage | Train Loss | Eval Loss | Parameters |
+|-------|------------|-----------|------------|
+| Embeddings-only | 4.27 | 4.49 | 8.4% (332M) |
+| Full FT (1 epoch) | 4.16 | 4.36 | 100% (3.97B) |
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model = AutoModelForCausalLM.from_pretrained(
+    "TSjB/QM-4B",
+    dtype=torch.bfloat16,
+    device_map="auto",
+    trust_remote_code=True
+)
+
+tokenizer = AutoTokenizer.from_pretrained(
+    "TSjB/QM-4B",
+    trust_remote_code=True
+)
+
+# With chat template
+messages = [
+{"role": "system", "content": "Сен къарачай-малкъар тилде болушлукъчуса. Соруўлагъа къысха, тюз эм ачыкъ джуўабла бер. Орусча неда ингилизче сорсала — ол тилде джуўаб бер."},
+{"role": "user", "content": "Не зат билесе Къарачай юсюнден?"}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True,
+    enable_thinking=False
+)
+
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+
+if 'token_type_ids' in inputs:
+    inputs.pop('token_type_ids')
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=100,
+    temperature=0.7,
+    top_p=0.9,
+    do_sample=True,
+    repetition_penalty=1.2,
+    no_repeat_ngram_size=4,
+    pad_token_id=tokenizer.pad_token_id,
+    eos_token_id=tokenizer.eos_token_id,
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Recommended Generation Parameters
+
+```python
+generation_config = {
+    "max_new_tokens": 200,
+    "temperature": 0.7,
+    "top_p": 0.9,
+    "do_sample": True,
+    "repetition_penalty": 1.2,  # important to avoid repetitions
+    "no_repeat_ngram_size": 3,  # optional
+}
+```
+
+## Supported Languages
+
+- Qarachay-Malqar (къарачай-малкъар тил)
+- Russian
+- English
+- Other languages from the base Qwen3 model
+
+## Limitations
+
+- The model was fine-tuned on text data (continued pretraining), not on dialogues
+- May switch between languages within a single response
+- Additional instruction tuning is recommended for better instruction following
+
+## Training Data
+
+The model was trained on a multilingual text corpus including:
+- Qarachay-Malqar texts
+- Russian texts
+- English texts
+
+## License
+
+cc-by-nc-sa-4.0
+
+## Citation
+
+```bibtex
+@misc{qm4b2026,
+  title={QM-4B: Qarachay-Malqar language support},
+  author={TSjB},
+  year={2026},
+  publisher={HuggingFace},
+  url={https://huggingface.co/TSjB/QM-4B}
+}
+```
+
+## Framework Versions
+
+- TRL: 0.24.0
+- Transformers: 4.57.3
+- Pytorch: 2.9.0
+- Unsloth: optimized training
+
+
+## Authors
+[Bogdan Tewunalany](https://t.me/bogdan_tewunalany), [Ali Berberov](https://t.me/ali_berberov)  

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "dtype": "float32",
+  "eos_token_id": 1,
+  "head_dim": 128,
+  "hidden_act": "silu",
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+  "intermediate_size": 9728,
+  "layer_types": [
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+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
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+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 262144,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 130000,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 5000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.3",
+  "unsloth_version": "2026.1.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 130001
+}

generation_config.json

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+{
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    151645,
+    151643
+  ],
+  "max_length": 262144,
+  "pad_token_id": 130000,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.57.3"
+}

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