llama-2-mxint8 / tinyllama-mxint8

2.8 GB

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Cheng98

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Cheng98_TinyLlama_v1.1.lm_head.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.lm_head.output.npy

512 kB
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Cheng98_TinyLlama_v1.1.lm_head.weight.npy

1.05 GB
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Cheng98_TinyLlama_v1.1.model.embed_tokens.output.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.embed_tokens.weight.npy

1.05 GB
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Cheng98_TinyLlama_v1.1.model.layers.0.add1.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.add1.other.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.add1.output.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.add2.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.add2.other.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.add2.output.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.input_layernorm.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.input_layernorm.output.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.act.input.npy

90.2 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.act.output.npy

90.2 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.down_proj.input.npy

90.2 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.down_proj.output.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.down_proj.weight.npy

185 MB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.gate_proj.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.gate_proj.output.npy

90.2 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.gate_proj.weight.npy

185 MB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.mult.input.npy

90.2 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.mult.other.npy

90.2 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.mult.output.npy

90.2 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.up_proj.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.up_proj.output.npy

90.2 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.mlp.up_proj.weight.npy

185 MB
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Cheng98_TinyLlama_v1.1.model.layers.0.post_attention_layernorm.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.post_attention_layernorm.output.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.attn_output.input.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.attn_output.other.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.attn_output.output.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.attn_weights.input.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.attn_weights.other.npy

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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.attn_weights.output.npy

640 Bytes
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.attn_weights_masked.npy

640 Bytes
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.attn_weights_softmaxed.npy

640 Bytes
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.k_proj.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.k_proj.output.npy

4.22 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.k_proj.weight.npy

8.39 MB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.o_proj.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.o_proj.output.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.o_proj.weight.npy

67.1 MB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.output.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.q_proj.input.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.q_proj.output.npy

32.9 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.q_proj.weight.npy

67.1 MB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.rope.cos.npy

1.15 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.rope.key_states.npy

4.22 kB
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Cheng98_TinyLlama_v1.1.model.layers.0.self_attn.rope.query_states.npy

32.9 kB
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