Duplicate from 0-hero/Matter-0.2-8x22B
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- config.json +31 -0
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README.md
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---
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license: apache-2.0
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datasets:
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- 0-hero/Matter-0.2-alpha-Slim-A
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language:
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- en
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---
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## Matter 8x22B - 0.2 (Mixtral 8x22B 0.2 Finetune)
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Matter 8x22B 0.2 is finetune on the **Matter 0.2 dataset**, which is curated from over 35 datsets analyzing >6B tokens
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### Recommended Usage for best results
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System Prompt - `You are a helpful assistant`
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### Training
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Prompt format: This model uses ChatML prompt format.
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```
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<|im_start|>system
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You are a helpful AI assistant.<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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### Function Calling
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Model also supports function calling. Additional tokens for function calling
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Model function call tokens
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- `<tool_call>` - Function call start token
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- `</tool_call>` - Function call end token
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Function call response tokens
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- `<tool_response>` - Function response start token
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- `</tool_response>` - Function response end token
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Example
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```
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<|im_start|>system
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You are a helpful assistant with access to the following functions. Use them if required -
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{ "name": "get_news_headlines",
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"description": "Get the latest news headlines",
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"parameters":
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{ "type": "object",
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"properties":
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{ "country":
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{ "type": "string",
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"description": "The country for which to fetch news"
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}
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},
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"required": [ "country" ]
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}
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}
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<|im_end|>
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<|im_start|>user
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Can you tell me the latest news headlines for the United States?<|im_end|>
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<|im_start|>assistant
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<tool_call>{"name": "get_news_headlines", "arguments": '{"country": "United States"}'}</tool_call><|im_end|>
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<|im_start|>user
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<tool_response>{
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"headlines":
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[
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"Biden announces new vaccine mandates",
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"Hurricane Ida devastates Louisiana",
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"Apple unveils new iPhone",
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"NASA's Perseverance rover collects first Mars rock sample"
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]
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}</tool_response>
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<|im_end|>
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<|im_start|>assistant
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Here are the latest news headlines for the United States:
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1. Biden announces new vaccine mandates
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2. Hurricane Ida devastates Louisiana
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3. Apple unveils new iPhone
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4. NASA's Perseverance rover collects first Mars rock sample
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<|im_end|>
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```
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added_tokens.json
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{
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"<|begin_func_response|>": 32003,
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"<|begin_func|>": 32001,
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"<|end_func_response|>": 32004,
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"<|end_func|>": 32002,
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"<|im_end|>": 32000,
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"<|im_start|>": 32005
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}
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config.json
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{
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"_name_or_path": "mistral-community/Mixtral-8x22B-v0.1",
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"architectures": [
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"MixtralForCausalLM"
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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": 32000,
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"hidden_act": "silu",
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"hidden_size": 6144,
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"initializer_range": 0.02,
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"intermediate_size": 16384,
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"max_position_embeddings": 65536,
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"model_type": "mixtral",
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"num_attention_heads": 48,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 56,
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"num_key_value_heads": 8,
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"num_local_experts": 8,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000,
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"router_aux_loss_coef": 0.001,
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"router_jitter_noise": 0.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0.dev0",
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"use_cache": false,
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"vocab_size": 32006
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}
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generation_config.json
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"_from_model_config": true,
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.40.0.dev0"
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}
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