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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 +1,53 @@
+---
+base_model: Qwen/Qwen2.5-Coder-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- verilog
+- rtl
+- qwen2.5-coder
+- lora
+- peft
+---
+
+# verilog-qwen2.5-coder-7b-v10-auto-distilled-direct-lora
+
+LoRA/PEFT adapter for Verilog RTL code generation, trained from `Qwen/Qwen2.5-Coder-7B-Instruct` through the project adapter chain.
+
+## Intended use
+
+Load base model `Qwen/Qwen2.5-Coder-7B-Instruct` and this adapter with PEFT. Prompt for complete synthesizable Verilog. This repo contains adapter files plus tokenizer/config dependencies needed for PEFT loading.
+
+## Local VerilogEval v2 spec-to-RTL direct result
+
+- Compile: 136/156 = 87.18%
+- Functional pass: 66/156 = 42.31%
+
+Compile improved vs v9, functional regressed by one task; analysis artifact.
+
+## Caveat
+
+This adapter is benchmark-targeted. Training data includes VerilogEval-distilled passing outputs and verified/retention data. Do not present these numbers as clean zero-shot leaderboard results.
+
+## Training summary
+
+- Base adapter input: v8 combined verified direct (for v9); v9 auto distilled direct (for v10)
+- Dataset style: direct `spec -> verified passing Verilog code`
+- LoRA r/alpha: 16/32
+- LR: 3e-7
+- Epochs: 1
+- Checkpointing: enabled every 25 steps during training
+
+## Loading sketch
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
+
+base = "Qwen/Qwen2.5-Coder-7B-Instruct"
+adapter = "Pablo-Flores-Mollinedo/verilog-qwen2.5-coder-7b-v10-auto-distilled-direct-lora"
+
+tok = AutoTokenizer.from_pretrained(adapter, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(base, device_map="auto", trust_remote_code=True)
+model = PeftModel.from_pretrained(model, adapter)
+```

adapter_config.json

@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
+  "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": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.19.1",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "q_proj",
+    "v_proj",
+    "up_proj",
+    "gate_proj",
+    "k_proj",
+    "down_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fdf349585aeedacb988d0a77c7af03a1c922c31e421ad13ac0706ec6822e7cf8
+size 323014168

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 %}

experiment_metadata/config.json

@@ -0,0 +1,21 @@
+{
+  "base_model": "Qwen/Qwen2.5-Coder-7B-Instruct",
+  "start_adapter": "adapter_v8_combined_verified_direct",
+  "start_dataset": "data/v8_combined_verified_direct.jsonl",
+  "start_version": 9,
+  "max_iters": 10,
+  "min_improve": 1,
+  "min_new_unique": 1,
+  "repo": "/home/pablo/verilog-eval",
+  "workdir": "/home/pablo/verilog-llm",
+  "lr": "3e-7",
+  "epochs": "1",
+  "max_length": "1536",
+  "grad_accum": "8",
+  "repeat_new": 4,
+  "version": 10,
+  "adapter_in": "/home/pablo/verilog-llm/adapter_v9_auto_distilled_direct",
+  "dataset": "/home/pablo/verilog-llm/data/v10_auto_distilled_direct.jsonl",
+  "adapter_out": "adapter_v10_auto_distilled_direct",
+  "build": "/home/pablo/verilog-eval/build-v10-auto-direct-spec-n1"
+}

experiment_metadata/report.json

@@ -0,0 +1,18 @@
+{
+  "version": 10,
+  "adapter": "adapter_v10_auto_distilled_direct",
+  "build": "/home/pablo/verilog-eval/build-v10-auto-direct-spec-n1",
+  "summary": {
+    "total": 156,
+    "compile": 136,
+    "passed": 66,
+    "compile_pct": 87.17948717948718,
+    "pass_pct": 42.30769230769231
+  },
+  "dataset_stats": {
+    "rows": 2774,
+    "added_unique": 8,
+    "added_weighted": 32
+  },
+  "next_dataset": "/home/pablo/verilog-llm/data/v11_auto_distilled_direct.jsonl"
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3931410bb94b6af8a8f501473b36c01ae62876bc79da5b6ebfafcb33d918bb49
+size 11422169

tokenizer_config.json

@@ -0,0 +1,37 @@
+{
+  "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,
+  "local_files_only": false,
+  "max_length": 1024,
+  "model_max_length": 32768,
+  "pad_to_multiple_of": null,
+  "pad_token": "<|im_end|>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "stride": 0,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": null
+}