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Browse files- README.md +78 -0
- config.json +26 -0
- mergekit_config.yml +17 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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license: apache-2.0
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tags:
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- Safetensors
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- mistral
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- text-generation-inference
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- merge
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- mistral
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- 7b
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- mistralai/Mistral-7B-Instruct-v0.1
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- Toten5/Marcoroni-neural-chat-7B-v1
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- transformers
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- safetensors
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- mistral
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- text-generation
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- merge
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- en
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- license:apache-2.0
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- autotrain_compatible
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- endpoints_compatible
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- has_space
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- text-generation-inference
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- region:us
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---
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# Marcoroni-neural-chat-7B-v1-Mistral-7B-Instruct-v0.1
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Marcoroni-neural-chat-7B-v1-Mistral-7B-Instruct-v0.1 is a merge of the following models:
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* [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
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* [Toten5/Marcoroni-neural-chat-7B-v1](https://huggingface.co/Toten5/Marcoroni-neural-chat-7B-v1)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: mistralai/Mistral-7B-Instruct-v0.1
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layer_range: [0, 32]
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- model: Toten5/Marcoroni-neural-chat-7B-v1
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layer_range: [0, 32]
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merge_method: slerp
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base_model: mistralai/Mistral-7B-Instruct-v0.1
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "MaziyarPanahi/Marcoroni-neural-chat-7B-v1-Mistral-7B-Instruct-v0.1"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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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": "mistralai/Mistral-7B-Instruct-v0.1",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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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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"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": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: mistralai/Mistral-7B-Instruct-v0.1
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layer_range: [0, 32]
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- model: Toten5/Marcoroni-neural-chat-7B-v1
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layer_range: [0, 32]
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merge_method: slerp
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base_model: mistralai/Mistral-7B-Instruct-v0.1
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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model-00001-of-00002.safetensors
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oid sha256:d238b76e5e263290ec3fb8e8e48c6a860b287a274796d959bbac73ce9c1045bc
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size 9942981696
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
ADDED
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version https://git-lfs.github.com/spec/v1
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size 493443
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tokenizer_config.json
ADDED
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"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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