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Browse files- README.md +32 -0
- config.json +99 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +22 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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---
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# mattxt-neo
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mattxt-neo is an SFT fine-tuned version of EleutherAI/gpt-neo-2.7B using a custom training dataset.
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This model was made with [Phinetune]()
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## Process
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- Learning Rate: 0.0001
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- Maximum Sequence Length: 2048
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- Dataset: Striker-7/mattxt
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- Split: train
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## 💻 Usage
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```python
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!pip install -qU transformers
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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model = "Striker-7/mattxt-neo"
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tokenizer = AutoTokenizer.from_pretrained(model)
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# Example prompt
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prompt = "Your example prompt here"
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# Generate a response
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model = AutoModelForCausalLM.from_pretrained(model)
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pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
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outputs = pipeline(prompt, max_length=50, num_return_sequences=1)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "EleutherAI/gpt-neo-2.7B",
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"activation_function": "gelu_new",
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"architectures": [
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"GPTNeoForCausalLM"
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],
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"attention_dropout": 0,
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"attention_layers": [
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"global",
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"local",
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"global",
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"local",
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"global",
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"global",
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"local",
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"global",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"local",
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"global",
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"local",
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"global",
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"local"
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],
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"attention_types": [
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[
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[
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"global",
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"local"
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],
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16
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]
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],
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"bos_token_id": 50256,
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"classifier_dropout": 0.1,
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"embed_dropout": 0,
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"eos_token_id": 50256,
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"gradient_checkpointing": false,
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": null,
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"layer_norm_epsilon": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neo",
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"num_heads": 20,
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"num_layers": 32,
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"pretraining_tp": 1,
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"quantization_config": {
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"_load_in_4bit": true,
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"_load_in_8bit": false,
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"bnb_4bit_compute_dtype": "bfloat16",
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"bnb_4bit_quant_storage": "uint8",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": false,
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false,
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"quant_method": "bitsandbytes"
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},
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"resid_dropout": 0,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50,
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"temperature": 0.9
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}
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},
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"tokenizer_class": "GPT2Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"use_cache": false,
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"vocab_size": 50257,
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"window_size": 256
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.42.3"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3686a766156a29b75ec5515faa5b27522eb19a6c34e0d8955aff3ddb75ec54db
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size 2006908480
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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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": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|endoftext|>",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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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": false,
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"50256": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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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": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 2048,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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vocab.json
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