Upload folder using huggingface_hub

.gitattributes

@@ -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 +1,186 @@
+---
+base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
+tags:
+- ellora
+- lora
+- long-context
+- repository-understanding
+- code-analysis
+- progressive-training
+- 2m-context
+- unsloth
+- vllm
+- peft
+library_name: peft
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+datasets:
+- codelion/Qwen2.5-Coder-0.5B-Instruct-progressive-2M-context
+---
+
+# codelion/qwen2-5-coder-0-5b-instruct-progressive-2000k-lora
+
+## 🚀 Progressive Context Extension to 2.0M Tokens
+
+This is a progressive LoRA adapter that extends Qwen/Qwen2.5-Coder-0.5B-Instruct to handle **2.0 MILLION token** contexts through curriculum learning.
+
+Part of the [Ellora project](https://github.com/codelion/ellora) - Recipe #4: Progressive Long Context Extension.
+
+## 🎯 Key Features
+
+- **Final Context**: 2,000,000 tokens (62x base model)
+- **Training Method**: Hybrid approach with vLLM + Unsloth optimizations
+- **Data Generation**: vLLM for 10x+ faster task generation
+- **Training**: Unsloth for memory-efficient progressive training
+- **Single Adapter**: One LoRA handles all context lengths up to 2000K
+- **Use Cases**: 
+  - Entire codebase analysis
+  - Multi-repository understanding
+  - Large-scale code generation
+  - Cross-file dependency analysis
+
+## 📊 Training Progression
+
+The model was trained progressively through these stages:
+   - Stage 1: 32K tokens (loss: 0.4882)
+   - Stage 2: 128K tokens (loss: 0.0641)
+   - Stage 3: 512K tokens (loss: 0.1327)
+   - Stage 4: 2000K tokens (loss: 0.0484)
+
+### Performance Metrics
+- **Final Training Loss**: 0.0484
+- **Total Training Time**: 0.17 hours
+- **Peak Memory Usage**: 4.7 GB
+- **LoRA Rank**: 64
+- **LoRA Alpha**: 128
+
+## 🔧 Usage with Unsloth
+
+```python
+from unsloth import FastLanguageModel
+from transformers import TextStreamer
+
+# Load model with Unsloth (automatically handles 2M context!)
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name="codelion/qwen2-5-coder-0-5b-instruct-progressive-2000k-lora",
+    max_seq_length=2000000,
+    dtype=None,  # Auto-detect
+    load_in_4bit=True,
+)
+
+# Enable native fast generation
+FastLanguageModel.for_inference(model)
+
+# Example: Analyze a large codebase
+prompt = """Repository Context:
+[Your repository content up to 2000K tokens]
+
+Question: Analyze the overall architecture and provide improvement suggestions.
+
+Answer:"""
+
+inputs = tokenizer(prompt, return_tensors="pt", truncation=True, max_length=2000000)
+streamer = TextStreamer(tokenizer)
+
+outputs = model.generate(
+    **inputs,
+    streamer=streamer,
+    max_new_tokens=1024,
+    temperature=0.7,
+    do_sample=True
+)
+```
+
+## 🔧 Usage with Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+import torch
+
+# Load base model
+model = AutoModelForCausalLM.from_pretrained(
+    "Qwen/Qwen2.5-Coder-0.5B-Instruct",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+    trust_remote_code=True,
+    attn_implementation="flash_attention_2"
+)
+
+# Load tokenizer
+tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Coder-0.5B-Instruct")
+
+# Load the progressive adapter
+model = PeftModel.from_pretrained(model, "codelion/qwen2-5-coder-0-5b-instruct-progressive-2000k-lora")
+
+# Now you can use contexts up to 2000K tokens!
+```
+
+## 📈 Progressive Training Details
+
+This adapter was trained using a novel progressive curriculum approach with hybrid optimizations:
+
+1. **Stage 1 (32K)**: Basic file-level understanding
+2. **Stage 2 (128K)**: Multi-file repository comprehension  
+3. **Stage 3 (512K)**: Large repository analysis
+4. **Stage 4 (2M)**: Massive codebase understanding
+
+Each stage included data from all previous stages, allowing the model to maintain and build upon its learned capabilities.
+
+## 🛠️ Training Configuration
+
+```yaml
+Progressive Stages: 32K → 128K → 512K → 2000K
+Final Context: 2000K tokens
+Base Model: Qwen/Qwen2.5-Coder-0.5B-Instruct
+Data Generation: vLLM (fast batch inference)
+Training: Unsloth (memory-efficient training)
+LoRA Rank: 64
+LoRA Alpha: 128
+Learning Rate: 0.0002
+Batch Size: 1
+Gradient Accumulation: 4
+```
+
+## 🚀 Optimizations Used
+
+### Data Generation (vLLM)
+- **Batch Generation**: Process multiple prompts simultaneously
+- **Optimized Memory**: GPU memory utilization tuning
+- **Fast Inference**: 10x+ faster than sequential generation
+
+### Training (Unsloth)
+- **Custom CUDA Kernels**: 2-5x training speedup
+- **Flash Attention 2**: Efficient attention computation
+- **Gradient Checkpointing**: Memory-efficient backprop
+- **4-bit Quantization**: Reduced memory footprint
+- **RSLoRA**: Rank-stabilized LoRA for better convergence
+
+## 📊 Evaluation Tasks
+
+The model excels at:
+- Complete repository architectural analysis
+- Cross-file dependency tracing
+- Large-scale refactoring suggestions
+- Security vulnerability detection across entire codebases
+- Test coverage analysis
+- Documentation generation for entire projects
+
+## 🏆 Achievements
+
+- Successfully extended context from 32K → 2000K tokens
+- Hybrid optimization: vLLM for generation + Unsloth for training
+- Single adapter handles all context lengths
+- Memory-efficient training on single H100 GPU
+- Real repository understanding, not just synthetic data
+
+## 🔗 Links
+
+- **GitHub**: [Ellora Recipe #4](https://github.com/codelion/ellora)
+- **Dataset**: [codelion/Qwen2.5-Coder-0.5B-Instruct-progressive-2M-context](https://huggingface.co/datasets/codelion/Qwen2.5-Coder-0.5B-Instruct-progressive-2M-context)
+
+---
+
+*This model is part of the Ellora project - standardized recipes for enhancing LLM capabilities.*

adapter_config.json

@@ -0,0 +1,44 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/qwen2.5-coder-0.5b-instruct-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "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": 128,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "lm_head",
+    "embed_tokens"
+  ],
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "gate_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84d28512aa5753146be3b71fde56c5bb4a00c407bd27abfd376235d9e025dc11
+size 614969992

added_tokens.json

@@ -0,0 +1,25 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|PAD_TOKEN|>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,54 @@
+{%- 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 %}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_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|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a49c1b786ba7cd9c539085ebc8eb83025f6b16a7ce910a34b35957768c4b52a7
+size 11422185

tokenizer_config.json

@@ -0,0 +1,216 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<|PAD_TOKEN|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_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|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 2000000,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}