This is a Lite series model based on the Mistral architecture, comprising approximately 157 million parameters.
100 Pulls Updated 4 months ago
0fd75f692a01 · 167MB
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general.architecturellama
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general.file_type7
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general.nameLite-Mistral-150M-Instruct
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general.quantization_version2
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llama.attention.head_count16
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llama.attention.head_count_kv8
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llama.attention.layer_norm_rms_epsilon1e-06
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llama.block_count12
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llama.context_length2048
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llama.embedding_length768
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llama.feed_forward_length3072
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llama.rope.dimension_count48
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llama.rope.freq_base10000
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llama.vocab_size32768
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tokenizer.ggml.add_bos_tokentrue
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tokenizer.ggml.add_eos_tokenfalse
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tokenizer.ggml.bos_token_id1
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tokenizer.ggml.eos_token_id2
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tokenizer.ggml.modelllama
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tokenizer.ggml.predefault
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tokenizer.ggml.scores[0, 0, 0, 0, 0, ...]
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tokenizer.ggml.token_type[2, 3, 3, 6, 6, ...]
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tokenizer.ggml.tokens[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
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tokenizer.ggml.unknown_token_id0
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NameTypeShape
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token_embd.weightQ8_0[768, 32768]
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blk.0.attn_k.weightQ8_0[768, 384]
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blk.0.attn_norm.weightF32[768]
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blk.0.attn_output.weightQ8_0[768, 768]
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blk.0.attn_q.weightQ8_0[768, 768]
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blk.0.attn_v.weightQ8_0[768, 384]
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blk.0.ffn_down.weightQ8_0[3072, 768]
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blk.0.ffn_gate.weightQ8_0[768, 3072]
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blk.0.ffn_norm.weightF32[768]
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blk.0.ffn_up.weightQ8_0[768, 3072]
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blk.1.attn_k.weightQ8_0[768, 384]
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blk.1.attn_norm.weightF32[768]
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blk.1.attn_output.weightQ8_0[768, 768]
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blk.1.attn_q.weightQ8_0[768, 768]
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blk.1.attn_v.weightQ8_0[768, 384]
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blk.1.ffn_down.weightQ8_0[3072, 768]
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blk.1.ffn_gate.weightQ8_0[768, 3072]
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blk.1.ffn_norm.weightF32[768]
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blk.1.ffn_up.weightQ8_0[768, 3072]
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blk.2.attn_k.weightQ8_0[768, 384]
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blk.2.attn_norm.weightF32[768]
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blk.2.attn_output.weightQ8_0[768, 768]
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blk.2.attn_q.weightQ8_0[768, 768]
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blk.2.attn_v.weightQ8_0[768, 384]
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blk.2.ffn_down.weightQ8_0[3072, 768]
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blk.2.ffn_gate.weightQ8_0[768, 3072]
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blk.2.ffn_norm.weightF32[768]
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blk.2.ffn_up.weightQ8_0[768, 3072]
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blk.3.attn_k.weightQ8_0[768, 384]
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blk.3.attn_norm.weightF32[768]
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blk.3.attn_output.weightQ8_0[768, 768]
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blk.3.attn_q.weightQ8_0[768, 768]
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blk.3.attn_v.weightQ8_0[768, 384]
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blk.3.ffn_down.weightQ8_0[3072, 768]
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blk.3.ffn_gate.weightQ8_0[768, 3072]
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blk.3.ffn_norm.weightF32[768]
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blk.3.ffn_up.weightQ8_0[768, 3072]
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blk.4.attn_k.weightQ8_0[768, 384]
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blk.4.attn_norm.weightF32[768]
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blk.4.attn_output.weightQ8_0[768, 768]
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blk.4.attn_q.weightQ8_0[768, 768]
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blk.4.attn_v.weightQ8_0[768, 384]
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blk.4.ffn_down.weightQ8_0[3072, 768]
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blk.4.ffn_gate.weightQ8_0[768, 3072]
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blk.4.ffn_norm.weightF32[768]
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blk.4.ffn_up.weightQ8_0[768, 3072]
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blk.5.attn_k.weightQ8_0[768, 384]
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blk.5.attn_norm.weightF32[768]
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blk.5.attn_output.weightQ8_0[768, 768]
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blk.5.attn_q.weightQ8_0[768, 768]
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blk.5.attn_v.weightQ8_0[768, 384]
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blk.5.ffn_down.weightQ8_0[3072, 768]
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blk.5.ffn_gate.weightQ8_0[768, 3072]
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blk.5.ffn_norm.weightF32[768]
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blk.5.ffn_up.weightQ8_0[768, 3072]
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blk.6.attn_k.weightQ8_0[768, 384]
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blk.6.attn_norm.weightF32[768]
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blk.6.attn_output.weightQ8_0[768, 768]
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blk.6.attn_q.weightQ8_0[768, 768]
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blk.6.attn_v.weightQ8_0[768, 384]
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blk.6.ffn_down.weightQ8_0[3072, 768]
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blk.6.ffn_gate.weightQ8_0[768, 3072]
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blk.6.ffn_norm.weightF32[768]
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blk.6.ffn_up.weightQ8_0[768, 3072]
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blk.7.attn_k.weightQ8_0[768, 384]
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blk.7.attn_norm.weightF32[768]
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blk.7.attn_output.weightQ8_0[768, 768]
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blk.7.attn_q.weightQ8_0[768, 768]
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blk.7.attn_v.weightQ8_0[768, 384]
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blk.7.ffn_down.weightQ8_0[3072, 768]
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blk.7.ffn_gate.weightQ8_0[768, 3072]
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blk.7.ffn_norm.weightF32[768]
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blk.7.ffn_up.weightQ8_0[768, 3072]
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blk.8.attn_k.weightQ8_0[768, 384]
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blk.8.attn_norm.weightF32[768]
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blk.8.attn_output.weightQ8_0[768, 768]
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blk.8.attn_q.weightQ8_0[768, 768]
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blk.8.attn_v.weightQ8_0[768, 384]
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blk.8.ffn_down.weightQ8_0[3072, 768]
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blk.8.ffn_gate.weightQ8_0[768, 3072]
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blk.8.ffn_norm.weightF32[768]
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blk.8.ffn_up.weightQ8_0[768, 3072]
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blk.9.attn_k.weightQ8_0[768, 384]
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blk.9.attn_norm.weightF32[768]
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blk.9.attn_output.weightQ8_0[768, 768]
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blk.9.attn_q.weightQ8_0[768, 768]
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blk.9.attn_v.weightQ8_0[768, 384]
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blk.9.ffn_down.weightQ8_0[3072, 768]
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blk.9.ffn_gate.weightQ8_0[768, 3072]
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blk.9.ffn_norm.weightF32[768]
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blk.9.ffn_up.weightQ8_0[768, 3072]
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blk.10.attn_k.weightQ8_0[768, 384]
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blk.10.attn_norm.weightF32[768]
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blk.10.attn_output.weightQ8_0[768, 768]
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blk.10.attn_q.weightQ8_0[768, 768]
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blk.10.attn_v.weightQ8_0[768, 384]
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blk.10.ffn_down.weightQ8_0[3072, 768]
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blk.10.ffn_gate.weightQ8_0[768, 3072]
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blk.10.ffn_norm.weightF32[768]
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blk.10.ffn_up.weightQ8_0[768, 3072]
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blk.11.attn_k.weightQ8_0[768, 384]
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blk.11.attn_norm.weightF32[768]
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blk.11.attn_output.weightQ8_0[768, 768]
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blk.11.attn_q.weightQ8_0[768, 768]
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blk.11.attn_v.weightQ8_0[768, 384]
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blk.11.ffn_down.weightQ8_0[3072, 768]
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blk.11.ffn_gate.weightQ8_0[768, 3072]
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blk.11.ffn_norm.weightF32[768]
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blk.11.ffn_up.weightQ8_0[768, 3072]
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output.weightQ8_0[768, 32768]
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output_norm.weightF32[768]
Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
blk.5
blk.6
blk.7
blk.8
blk.9
blk.10
blk.11