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Browse files- README.md +52 -0
- adapter_config.json +36 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +15 -0
- config.json +16 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
README.md
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# A6B - Custom Language Model
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## Model Description
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- **Model Type:** A6B Custom Language Model
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- **Language:** English
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- **Training Data:** Custom A6B Assistant dataset
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- **Developer:** Balakarthikeyan
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## Training Details
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- **Number of Epochs:** 3
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- **Learning Rate:** 0.0002
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- **Batch Size:** 1
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- **Gradient Accumulation Steps:** 16
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- **Max Sequence Length:** 512
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load model and tokenizer
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model = AutoModelForCausalLM.from_pretrained("bala00712200502/A6B7B")
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tokenizer = AutoTokenizer.from_pretrained("bala00712200502/A6B7B")
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# Example usage
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def generate_response(prompt):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(
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inputs["input_ids"],
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max_length=512,
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temperature=0.7,
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top_p=0.95,
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do_sample=True
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)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return response
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# Example usage
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response = generate_response("Hello, how can I help you?")
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print(response)
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```
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## Training Infrastructure
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- Trained on AMD EPYC 7V12 64-Core Processor
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- Training Framework: PyTorch with 🤗 Transformers
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## License
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This model is for research purposes only.
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## Developer
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Created by Balakarthikeyan
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj",
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"k_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:744504981f8ac823da672c48eacadc7d66fd8f64150567adfb6aaba8c6b97bd1
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size 18045856
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chat_template.jinja
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{% for message in messages %}
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{% if message['role'] == 'user' %}
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{{ '<|user|>
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' + message['content'] + eos_token }}
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{% elif message['role'] == 'system' %}
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{{ '<|system|>
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' + message['content'] + eos_token }}
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{% elif message['role'] == 'assistant' %}
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{{ '<|assistant|>
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' + message['content'] + eos_token }}
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{% endif %}
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{% if loop.last and add_generation_prompt %}
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{{ '<|assistant|>' }}
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{% endif %}
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{% endfor %}
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config.json
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{
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"architectures": [
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"A6BForCausalLM"
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],
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"model_type": "a6b",
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"torch_dtype": "float32",
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"transformers_version": "4.37.2",
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"task_specific_params": {
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"chat": {
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"temperature": 0.7,
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"top_p": 0.95,
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"do_sample": true,
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"max_length": 512
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}
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}
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": null,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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