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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,108 @@
+---
+library_name: peft
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+  - lora
+  - sft
+  - transformers
+  - trl
+  - education
+  - machine-learning
+license: apache-2.0
+pipeline_tag: text-generation
+language:
+  - en
+---
+
+# teach_lora1 — ML Tutor LoRA
+
+A LoRA adapter fine-tuned on top of **Qwen2.5-7B-Instruct** to teach machine learning concepts clearly and accessibly — the way great teachers do.
+
+The model explains ML topics using:
+- Intuitive analogies first, before the math
+- Gradual concept build-up, one step at a time
+- An encouraging, patient tone that makes learners feel capable
+- A practice question at the end of every answer to reinforce understanding
+
+## Dataset Quality (DeepSeek judge, 5-point scale)
+
+| Dimension         | Score / 5 |
+|-------------------|-----------|
+| Analogy quality   | 4.67      |
+| Clarity           | 5.00      |
+| Encouraging tone  | 5.00      |
+| Practice question | 5.00      |
+| Conciseness       | 4.33      |
+| **Average total** | **24.0 / 25** |
+
+0 entries flagged below threshold.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
+from peft import PeftModel
+import torch
+
+BASE_MODEL = "Qwen/Qwen2.5-7B-Instruct"
+LORA_PATH  = "your-username/teach_lora1"  # this repo
+
+quant_config = BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_quant_type="nf4",
+    bnb_4bit_use_double_quant=True,
+    bnb_4bit_compute_dtype=torch.bfloat16,
+)
+
+model = AutoModelForCausalLM.from_pretrained(
+    BASE_MODEL, quantization_config=quant_config, device_map="auto"
+)
+model = PeftModel.from_pretrained(model, LORA_PATH)
+model.eval()
+
+tokenizer = AutoTokenizer.from_pretrained(LORA_PATH)
+
+SYSTEM = (
+    "You are an ML tutor teaching CS students who know coding but not ML. "
+    "Always start with an intuitive analogy, build up to the concept, "
+    "and end with a practice question. Be encouraging and patient."
+)
+
+messages = [
+    {"role": "system", "content": SYSTEM},
+    {"role": "user",   "content": "What is gradient descent?"},
+]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+
+with torch.no_grad():
+    output_ids = model.generate(**inputs, max_new_tokens=512, temperature=0.7, top_p=0.9,
+                                 do_sample=True, pad_token_id=tokenizer.eos_token_id)
+
+new_tokens = output_ids[0][inputs["input_ids"].shape[-1]:]
+print(tokenizer.decode(new_tokens, skip_special_tokens=True))
+```
+
+## Training Details
+
+| Parameter              | Value                          |
+|------------------------|-------------------------------|
+| Base model             | Qwen2.5-7B-Instruct            |
+| LoRA rank (r)          | 16                             |
+| LoRA alpha             | 32                             |
+| LoRA dropout           | 0.05                           |
+| Target modules         | q_proj, k_proj, v_proj, o_proj |
+| Training epochs        | 1                              |
+| Learning rate          | 2e-4                           |
+| Batch size             | 1 (grad accum 16)              |
+| Max sequence length    | 512                            |
+| Quantization           | 4-bit NF4                      |
+| Optimizer              | paged_adamw_8bit               |
+
+### Framework Versions
+
+- PEFT 0.18.1
+- TRL 0.29.0
+- Transformers 5.3.0
+- PyTorch 2.10.0+cu126
+- Datasets 4.7.0

adapter_config.json

@@ -0,0 +1,43 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "D:\\LmModels\\Qwen2.5-7B-Instruct4",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9789cdd0b2bb57a9939b7d33230dea2483398a4ebdf021cbf27e0361fb753ef2
+size 20215208

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# 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' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.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 %}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892

tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}