upload model
Browse files- README.md +2 -1
- README_zh-CN.md +3 -2
- config.json +26 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +37 -0
README.md
CHANGED
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@@ -65,6 +65,7 @@ def translate(text: str, model, **kwargs):
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temperature = kwargs.pop("temperature", 0.55),
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top_p = kwargs.pop("top_p", 0.8),
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top_k = kwargs.pop("top_k", 40),
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**kwargs
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)
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@@ -124,6 +125,6 @@ pipe = pipeline("text-generation", model=model_path, accelerator="ort")
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text = "I love to watch my favorite TV series."
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response = pipe(text, max_new_tokens=64, do_sample=False)
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response
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```
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temperature = kwargs.pop("temperature", 0.55),
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top_p = kwargs.pop("top_p", 0.8),
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top_k = kwargs.pop("top_k", 40),
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eos_token_id = kwargs.pop("eos_token_id", tokenizer.eos_token_id),
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**kwargs
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)
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text = "I love to watch my favorite TV series."
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response = pipe(text, max_new_tokens=64, do_sample=False, eos_token_id=2)
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response
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```
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README_zh-CN.md
CHANGED
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@@ -53,6 +53,7 @@ def translate(text: str, model, **kwargs):
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temperature = kwargs.pop("temperature", 0.55),
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top_p = kwargs.pop("top_p", 0.8),
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top_k = kwargs.pop("top_k", 40),
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**kwargs
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)
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@@ -98,7 +99,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_path)
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text = "I love to watch my favorite TV series."
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response = translate(text, ort_model, max_new_tokens=64, do_sample=False)
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print(response)
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```
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@@ -112,6 +113,6 @@ pipe = pipeline("text-generation", model=model_path, accelerator="ort")
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text = "I love to watch my favorite TV series."
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response = pipe(text, max_new_tokens=64, do_sample=False)
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response
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```
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temperature = kwargs.pop("temperature", 0.55),
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top_p = kwargs.pop("top_p", 0.8),
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top_k = kwargs.pop("top_k", 40),
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eos_token_id = kwargs.pop("eos_token_id", tokenizer.eos_token_id),
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**kwargs
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)
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text = "I love to watch my favorite TV series."
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response = translate(text, ort_model, max_new_tokens=64, do_sample=False, eos_token_id=tokenizer.eos_token_id)
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print(response)
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```
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text = "I love to watch my favorite TV series."
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response = pipe(text, max_new_tokens=64, do_sample=False, eos_token_id=2)
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response
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```
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config.json
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{
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"_name_or_path": "/mnt/bn/gmma/zxt/model/nt-m22",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"hidden_act": "gelu",
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"hidden_size": 432,
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"initializer_range": 0.02,
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"intermediate_size": 2304,
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"max_position_embeddings": 1024,
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"max_window_layers": 24,
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"model_type": "qwen2",
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"num_attention_heads": 24,
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"num_hidden_layers": 6,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 4000
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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": 0,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.42.4"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a4329e7f733b180e2d0ca995fd2ca386fa0555a0bd555883f54f80761e484711
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size 90567272
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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": 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": "<|im_end|>",
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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": {
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"content": "<|endoftext|>",
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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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"added_tokens_decoder": {
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"0": {
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"content": "<|endoftext|>",
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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": "<|im_start|>",
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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": "<|im_end|>",
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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": "<|endoftext|>",
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 1024,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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