Comments (2)
Llama.cpp has supported SelfExtend and had a good implementation. It uses GGUF models. SelfExtend has obtained pretty positive feedback from Llama.cpp's community. You can check their repo for more details.
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probably, but i'd recommend to just make a .safetensors file Self-Extended before making it GGUF again
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Related Issues (20)
- Example for gemma & use with Ollama HOT 5
- OOM on LongBench HOT 1
- FlashAttention does not work for Batch size > 1
- What effect on qwen1.5 will be if i use self-extend trick? HOT 3
- Something wrong in modify_method_of_instance function HOT 2
- Long context
- Questions regarding group query/key positional index HOT 2
- Question about equation 4 and Table 5 caption in paper HOT 3
- llama3 is not working. HOT 1
- Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! when resuming training
- Passkey retrieval (needle in a haystack) HOT 2
- Run example.py Error: Failed to modify the attention method of LlamaForCausalLM HOT 2
- Differences with ReRoPE HOT 1
- 是否有示例代码支持对safetensors格式LLM启用SelfExtend HOT 5
- Cohere command r HOT 1
- TypeError: 'NoneType' object is not subscriptable HOT 1
- LongLM really has great potential. HOT 1
- About GPU memory usage
- LongLM isn't compatible with gemma-2-27b-it or gemma-2b-it HOT 8
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