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TheBlueObserver
/
OpenHermes-2.5-Mistral-7B-MLX-0cb1b

MLX
Safetensors
English
mistral
instruct
finetune
chatml
gpt4
synthetic data
distillation
2-bit
Model card Files Community
1
TheBlueObserver commited on
Commit
e4b5e1f
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1 Parent(s): b8efc08

a7d6d4f3061c527222e9651b0f8ee112d42380a2305e7c31fb5c334dccaf43a4

Browse files
Files changed (9) hide show
  1. README.md +48 -0
  2. added_tokens.json +4 -0
  3. config.json +32 -0
  4. model.safetensors.index.json +750 -0
  5. special_tokens_map.json +23 -0
  6. tokenizer.json +0 -0
  7. tokenizer.model +3 -0
  8. tokenizer_config.json +62 -0
  9. transformers_inference.py +32 -0
README.md ADDED
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+ ---
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+ base_model: teknium/OpenHermes-2.5-Mistral-7B
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+ datasets:
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+ - teknium/OpenHermes-2.5
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - mistral
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+ - instruct
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+ - finetune
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+ - chatml
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+ - gpt4
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+ - synthetic data
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+ - distillation
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+ - mlx
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+ model-index:
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+ - name: OpenHermes-2-Mistral-7B
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+ results: []
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+ ---
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+
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+ # TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-0cb1b
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+
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+ The Model [TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-0cb1b](https://huggingface.co/TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-0cb1b) was
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+ converted to MLX format from [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
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+ using mlx-lm version **0.20.2**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-0cb1b")
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+
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+ prompt="hello"
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+
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+ if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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+ messages = [{"role": "user", "content": prompt}]
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+ prompt = tokenizer.apply_chat_template(
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+ messages, tokenize=False, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
added_tokens.json ADDED
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+ {
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+ "<|im_end|>": 32000,
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+ "<|im_start|>": 32001
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+ }
config.json ADDED
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+ {
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "bos_token_id": 1,
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+ "eos_token_id": 32000,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 2
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+ },
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+ "quantization_config": {
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+ "group_size": 64,
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+ "bits": 2
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.34.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 32002
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+ }
model.safetensors.index.json ADDED
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special_tokens_map.json ADDED
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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": "<|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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+ "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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+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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+ size 493443
tokenizer_config.json ADDED
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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": true,
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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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+ "normalized": false,
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+ },
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+ "2": {
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+ "content": "</s>",
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+ },
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+ "content": "<|im_end|>",
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+ "special": true
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+ },
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+ "content": "<|im_start|>",
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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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+ "additional_special_tokens": [],
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+ "bos_token": "<s>",
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+ "chat_template": "{% for message in messages %}{{'<|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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+ "legacy": true,
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": null,
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "trust_remote_code": false,
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": true,
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+ "use_fast": true
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+ }
transformers_inference.py ADDED
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1
+ # Code to inference Open Hermes 2.5 with HF Transformers
2
+ # Requires pytorch, transformers, bitsandbytes, sentencepiece, protobuf, and flash-attn packages
3
+
4
+ import torch
5
+ from transformers import AutoTokenizer, AutoModelForCausalLM
6
+ from transformers import LlamaTokenizer, LlamaForCausalLM, MistralForCausalLM
7
+ import bitsandbytes, flash_attn
8
+
9
+ tokenizer = LlamaTokenizer.from_pretrained('teknium/OpenHermes-2.5-Mistral-7B', trust_remote_code=True)
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+ model = MistralForCausalLM.from_pretrained(
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+ "teknium/OpenHermes-2.5-Mistral-7B",
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+ torch_dtype=torch.float16,
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+ device_map="auto",#{'': 'cuda:0'},
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+ load_in_8bit=False,
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+ load_in_4bit=True,
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+ use_flash_attention_2=True
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+ )
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+
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+ prompts = [
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+ """<|im_start|>system
21
+ You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.<|im_end|>
22
+ <|im_start|>user
23
+ Write a short story about Goku discovering kirby has teamed up with Majin Buu to destroy the world.<|im_end|>
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+ <|im_start|>assistant""",
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+ ]
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+
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+ for chat in prompts:
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+ print(chat)
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+ input_ids = tokenizer(chat, return_tensors="pt").input_ids.to("cuda")
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+ generated_ids = model.generate(input_ids, max_new_tokens=750, temperature=0.8, repetition_penalty=1.1, do_sample=True, eos_token_id=tokenizer.eos_token_id)
31
+ response = tokenizer.decode(generated_ids[0][input_ids.shape[-1]:], skip_special_tokens=True, clean_up_tokenization_space=True)
32
+ print(f"Response: {response}")