Upload PEFT/LoRA adapter (300 steps fine-tuned)

README.md

@@ -1,3 +1,110 @@
----
-license: apache-2.0
----
+---
+language:
+- en
+license: apache-2.0
+tags:
+- pytorch
+- peft
+- lora
+- code-generation
+- deepseek-coder
+- fine-tuned
+datasets:
+- custom-code-dataset
+model-index:
+- name: BriskFO_Coderv1
+  results: []
+---
+
+# BriskFO_Coderv1
+
+## Model Description
+
+This is a **PEFT/LoRA adapter** fine-tuned on DeepSeek Coder 1.3B Instruct model. It was trained for 300 steps on a custom code generation dataset.
+
+## Model Type
+
+This is a **PEFT (Parameter-Efficient Fine-Tuning)** model, specifically using **LoRA (Low-Rank Adaptation)**. It contains only the adapter weights, not the full model.
+
+## Training Details
+
+- **Base Model**: `deepseek-ai/deepseek-coder-1.3b-instruct`
+- **Training Steps**: 300
+- **Learning Rate**: 2e-4
+- **Batch Size**: 16
+- **Gradient Accumulation**: 4
+- **Sequence Length**: 34958
+- **Training Method**: PEFT/LoRA
+
+## Files
+
+This repository contains:
+- `adapter_model.bin` / `adapter_model.safetensors` - LoRA adapter weights
+- `adapter_config.json` - PEFT configuration
+- `tokenizer.json`, `tokenizer_config.json` - Tokenizer files
+- `special_tokens_map.json` - Special tokens mapping
+
+## Usage
+
+### Installation
+
+```bash
+pip install transformers peft accelerate torch
+```
+
+### Loading the Model
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel, PeftConfig
+
+# Load the base model
+base_model_id = "deepseek-ai/deepseek-coder-1.3b-instruct"
+adapter_model_id = "abel252/BriskFO_Coderv1"
+
+# Load tokenizer
+tokenizer = AutoTokenizer.from_pretrained(adapter_model_id)
+
+# Load base model
+base_model = AutoModelForCausalLM.from_pretrained(
+    base_model_id,
+    torch_dtype="auto",
+    device_map="auto"
+)
+
+# Load PEFT adapter
+model = PeftModel.from_pretrained(base_model, adapter_model_id)
+
+# For inference, you can merge the adapter with the base model (optional)
+# model = model.merge_and_unload()
+```
+
+### Inference Example
+
+```python
+# Prepare input
+prompt = "Write a Python function to calculate fibonacci numbers"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
+# Generate
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=256,
+    temperature=0.7,
+    top_p=0.95,
+    do_sample=True
+)
+
+# Decode
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+## License
+
+This model is released under the Apache 2.0 license.
+
+## Acknowledgments
+
+- Base model: [DeepSeek Coder](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct)
+- Fine-tuning framework: [PEFT](https://github.com/huggingface/peft)

adapter_config.json

@@ -0,0 +1,42 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-instruct",
+  "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": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "down_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 sha256:57caf239eeaf690f9b9db3da1922ca95bd89097a0e2f9c40182557e2ed7cdb4d
+size 60010048

chat_template.jinja

@@ -0,0 +1,26 @@
+{% if not add_generation_prompt is defined %}
+{% set add_generation_prompt = false %}
+{% endif %}
+{%- set ns = namespace(found=false) -%}
+{%- for message in messages -%}
+    {%- if message['role'] == 'system' -%}
+        {%- set ns.found = true -%}
+    {%- endif -%}
+{%- endfor -%}
+{{bos_token}}{%- if not ns.found -%}
+{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\n'}}
+{%- endif %}
+{%- for message in messages %}
+    {%- if message['role'] == 'system' %}
+{{ message['content'] }}
+    {%- else %}
+        {%- if message['role'] == 'user' %}
+{{'### Instruction:\n' + message['content'] + '\n'}}
+        {%- else %}
+{{'### Response:\n' + message['content'] + '\n<|EOT|>\n'}}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{% if add_generation_prompt %}
+{{'### Response:'}}
+{% endif %}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|EOT|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "32000": {
+      "content": "õ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "content": "À",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "32005": {
+      "content": "ÿ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
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+      "content": "ú",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
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+      "special": false
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+    "32008": {
+      "content": "þ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "32009": {
+      "content": "ü",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+      "content": "ù",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "32011": {
+      "content": "ö",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "content": "û",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "32013": {
+      "content": "<｜begin▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32014": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "content": "<｜fim▁hole｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "32019": {
+      "content": "<|User|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "32020": {
+      "content": "<|Assistant|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "content": "<|EOT|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|EOT|>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 34958,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizerFast",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}