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convert-lora-to-gguf.py converts a HF lora adapter bin to GGUF format.
Spits out the error Error: unrecognized tensor
I think at least some stuff has to be added to:
HF_SUBLAYER_TO_GGML = { "self_attn.q_proj": "attn_q", "self_attn.k_proj": "attn_k", "self_attn.v_proj": "attn_v", "self_attn.o_proj": "attn_output", "mlp.gate_proj": "ffn_gate", "mlp.down_proj": "ffn_down", "mlp.up_proj": "ffn_up", "input_layernorm": "attn_norm", "post_attention_layernorm": "ffn_norm", }
And maybe some other llama specific things changed down the line but I have no idea of what the names are supposed to be or where to find them.
Now that merging adapters is possible, this would let all of the falcon 180b tunes work without downloading 100GB+ each.
The text was updated successfully, but these errors were encountered:
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Expected Behavior
convert-lora-to-gguf.py converts a HF lora adapter bin to GGUF format.
Current Behavior
Spits out the error Error: unrecognized tensor
Environment and Context
I think at least some stuff has to be added to:
And maybe some other llama specific things changed down the line but I have no idea of what the names are supposed to be or where to find them.
Now that merging adapters is possible, this would let all of the falcon 180b tunes work without downloading 100GB+ each.
The text was updated successfully, but these errors were encountered: