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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- meta-llama/Llama-2-7b-hf
+- syzymon/long_llama_code_7b_instruct
+- georgesung/llama2_7b_chat_uncensored
+- togethercomputer/LLaMA-2-7B-32K
+base_model:
+- meta-llama/Llama-2-7b-hf
+- syzymon/long_llama_code_7b_instruct
+- georgesung/llama2_7b_chat_uncensored
+- togethercomputer/LLaMA-2-7B-32K
+---
+
+# Llamoe-test
+
+Llamoe-test is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
+* [syzymon/long_llama_code_7b_instruct](https://huggingface.co/syzymon/long_llama_code_7b_instruct)
+* [georgesung/llama2_7b_chat_uncensored](https://huggingface.co/georgesung/llama2_7b_chat_uncensored)
+* [togethercomputer/LLaMA-2-7B-32K](https://huggingface.co/togethercomputer/LLaMA-2-7B-32K)
+
+## 🧩 Configuration
+
+```yaml
+base_model: meta-llama/Llama-2-7b-chat-hf
+gate_mode: random
+dtype: bfloat16
+experts_per_token: 2
+experts:
+  - source_model: meta-llama/Llama-2-7b-hf
+    positive_prompts:
+      - "should be able to converse properly"
+    negative_prompts:
+      - "Uncensored in my opinion"
+      
+  - source_model: syzymon/long_llama_code_7b_instruct
+    positive_prompts:
+      - "Perform pretty well in coding question"
+      
+    negative_prompts:
+      - "Is quite bad in C++"
+      
+  - source_model: georgesung/llama2_7b_chat_uncensored
+    positive_prompts:
+      - "Uncensored"
+      
+    negative_prompts:
+      - "really bad in high school grade math and science"
+      
+  - source_model: togethercomputer/LLaMA-2-7B-32K
+    positive_prompts:
+      - "really good in long context question answering"  
+      
+    negative_prompts:
+      - "incorrect or biased content"
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "damerajee/Llamoe-test"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "num_local_experts": 4,
+  "output_router_logits": false,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_moe_config.yml

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+
+base_model: meta-llama/Llama-2-7b-chat-hf
+gate_mode: random
+dtype: bfloat16
+experts_per_token: 2
+experts:
+  - source_model: meta-llama/Llama-2-7b-hf
+    positive_prompts:
+      - "should be able to converse properly"
+    negative_prompts:
+      - "Uncensored in my opinion"
+      
+  - source_model: syzymon/long_llama_code_7b_instruct
+    positive_prompts:
+      - "Perform pretty well in coding question"
+      
+    negative_prompts:
+      - "Is quite bad in C++"
+      
+  - source_model: georgesung/llama2_7b_chat_uncensored
+    positive_prompts:
+      - "Uncensored"
+      
+    negative_prompts:
+      - "really bad in high school grade math and science"
+      
+  - source_model: togethercomputer/LLaMA-2-7B-32K
+    positive_prompts:
+      - "really good in long context question answering"  
+      
+    negative_prompts:
+      - "incorrect or biased content"

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special_tokens_map.json

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+{
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

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+{
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+  "add_eos_token": false,
+  "added_tokens_decoder": {
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+      "single_word": false,
+      "special": true
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+      "single_word": false,
+      "special": true
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+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
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+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<s>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": false
+}