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erukude
/
multiagent-orchestrator
:1b
12.7K
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Updated
10 months ago
A small multi-agent orchestrator built on Llama3.2 that coordinates LLM agents and tools by outputting "next actions." Use it as the central routing brain in your agentic workflows.
A small multi-agent orchestrator built on Llama3.2 that coordinates LLM agents and tools by outputting "next actions." Use it as the central routing brain in your agentic workflows.
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multiagent-orchestrator:1b
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adapter
2adde22f73ed ยท 90MB
Metadata
general.architecture
llama
llama
adapter.lora.alpha
128
128
adapter.type
lora
lora
Tensor
Name
Type
Shape
blk.0
blk.0.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.0.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.0.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.0.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.0.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.0.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.0.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.0.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.0.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.0.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.0.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.0.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.0.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.0.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.1
blk.1.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.1.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.1.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.1.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.1.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.1.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.1.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.1.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.1.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.1.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.1.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.1.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.1.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.1.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.2
blk.2.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.2.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.2.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.2.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.2.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.2.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.2.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.2.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.2.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.2.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.2.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.2.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.2.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.2.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.3
blk.3.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.3.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.3.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.3.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.3.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.3.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.3.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.3.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.3.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.3.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.3.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.3.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.3.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.3.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.4
blk.4.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.4.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.4.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.4.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.4.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.4.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.4.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.4.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.4.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.4.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.4.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.4.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.4.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.4.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.5
blk.5.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.5.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.5.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.5.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.5.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.5.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.5.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.5.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.5.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.5.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.5.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.5.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.5.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.5.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.6
blk.6.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.6.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.6.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.6.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.6.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.6.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.6.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.6.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.6.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.6.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.6.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.6.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.6.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.6.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.7
blk.7.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.7.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.7.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.7.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.7.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.7.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.7.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.7.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.7.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.7.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.7.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.7.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.7.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.7.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.8
blk.8.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.8.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.8.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.8.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.8.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.8.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.8.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.8.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.8.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.8.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.8.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.8.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.8.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.8.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.9
blk.9.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.9.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.9.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.9.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.9.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.9.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.9.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.9.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.9.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.9.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.9.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.9.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.9.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.9.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.10
blk.10.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.10.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.10.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.10.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.10.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.10.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.10.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.10.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.10.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.10.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.10.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.10.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.10.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.10.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.11
blk.11.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.11.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.11.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.11.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.11.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.11.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.11.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.11.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.11.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.11.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.11.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.11.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.11.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.11.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.12
blk.12.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.12.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.12.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.12.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.12.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.12.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.12.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.12.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.12.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.12.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.12.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.12.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.12.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.12.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.13
blk.13.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.13.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.13.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.13.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.13.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.13.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.13.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.13.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.13.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.13.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.13.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.13.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.13.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.13.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.14
blk.14.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.14.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.14.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.14.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.14.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.14.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.14.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.14.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.14.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.14.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.14.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.14.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.14.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.14.ffn_up.weight.lora_b
F16
F16
[64, 8192]
blk.15
blk.15.attn_k.weight.lora_a
F16
F16
[2048, 64]
blk.15.attn_k.weight.lora_b
F16
F16
[64, 512]
blk.15.attn_output.weight.lora_a
F16
F16
[2048, 64]
blk.15.attn_output.weight.lora_b
F16
F16
[64, 2048]
blk.15.attn_q.weight.lora_a
F16
F16
[2048, 64]
blk.15.attn_q.weight.lora_b
F16
F16
[64, 2048]
blk.15.attn_v.weight.lora_a
F16
F16
[2048, 64]
blk.15.attn_v.weight.lora_b
F16
F16
[64, 512]
blk.15.ffn_down.weight.lora_a
F16
F16
[8192, 64]
blk.15.ffn_down.weight.lora_b
F16
F16
[64, 2048]
blk.15.ffn_gate.weight.lora_a
F16
F16
[2048, 64]
blk.15.ffn_gate.weight.lora_b
F16
F16
[64, 8192]
blk.15.ffn_up.weight.lora_a
F16
F16
[2048, 64]
blk.15.ffn_up.weight.lora_b
F16
F16
[64, 8192]