Model card of JOSIE_Beta_1.1_7B
This is my Token customized Isaak-Carter/JOSIE_Beta-1-7B-slerp model
[Origional Model][https://huggingface.co/Isaak-Carter/JOSIE_Beta-1-7B-slerp]
This is based on Isaak-Carter/JOSIE_Beta-1-7B-slerp model with added custom special Tokens. This wil most likely be my next Model, trained on my own Dataset.
New added Special Tokens
'<|functions|>',
'<|system|>',
'<|gökdeniz|>',
'<|user|>',
'<|josie|>',
'<|assistant|>',
'<|function_call|>',
'<|function_response|>',
'<|image|>',
'<|long_term_memory|>',
'<|short_term_memory|>',
'<|home_state|>',
'<|current_states|>',
'<|context|>'
New BOS and EOS Tokens
BOS = '<|startoftext|>'
EOS = '<|endoftext|>'
Model Architecture:
MistralForCausalLM(
(model): MistralModel(
(embed_tokens): Embedding(32016, 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=32016, bias=False)
)
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