--- library_name: transformers base_model: mistralai/Mistral-7B-Instruct-v0.2 --- # Model card of JOSIExMistral-7B-Instruct-v0.2 ## This is my Token customized mistralai/Mistral-7B-Instruct-v0.2 model [Origional Model](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) This is based on mistralai/Mistral-7B-Instruct-v0.2 model with added custom special Tokens. This wil most likely be my next Model, trained on my own Dataset. [--> GGUF Quants <--](https://huggingface.co/mradermacher/JOSIExMistral-7B-Instruct-v0.2-GGUF)
### New added Special Tokens ```text '<|functions|>', '<|system|>', '<|gökdeniz|>', '<|user|>', '<|josie|>', '<|assistant|>', '<|function_call|>', '<|function_response|>', '<|image|>', '<|long_term_memory|>', '<|short_term_memory|>', '<|home_state|>', '<|current_states|>', '<|context|>', '<|im_start|>', '<|im_end|>' ```
### New BOS and EOS Tokens ```text BOS = '<|startoftext|>' EOS = '<|endoftext|>' ```
## Model Architecture: ```text MistralForCausalLM( (model): MistralModel( (embed_tokens): Embedding(32018, 4096) (layers): ModuleList( (0-31): 32 x MistralDecoderLayer( (self_attn): MistralSdpaAttention( (q_proj): Linear(in_features=4096, out_features=4096, bias=False) (k_proj): Linear(in_features=4096, out_features=1024, bias=False) (v_proj): Linear(in_features=4096, out_features=1024, bias=False) (o_proj): Linear(in_features=4096, out_features=4096, bias=False) (rotary_emb): MistralRotaryEmbedding() ) (mlp): MistralMLP( (gate_proj): Linear(in_features=4096, out_features=14336, bias=False) (up_proj): Linear(in_features=4096, out_features=14336, bias=False) (down_proj): Linear(in_features=14336, out_features=4096, bias=False) (act_fn): SiLU() ) (input_layernorm): MistralRMSNorm() (post_attention_layernorm): MistralRMSNorm() ) ) (norm): MistralRMSNorm() ) (lm_head): Linear(in_features=4096, out_features=32018, bias=False) ) ```