Comments (1)
BTW, llama2-13b-chat-hf and llama2-70b-chat-hf models ran into the same mismatch problem.
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Related Issues (20)
- Can't quantize to int4 and can't compile on RTX2080Ti HOT 2
- Int4 perplexity
- index out of range: No transformer config could be loaded HOT 1
- Reducing Latency in Application with Torch Compilation: Initialization and Inference Optimization
- int4/int4-gptq support in Mixtral 8x7B HOT 2
- CUDA error if enabling compile_prefill for quantization model (int8) HOT 8
- Question about large sequence length attention kernels HOT 1
- int8 Woq raise Codegen Error with `--compile_prefill` HOT 4
- On the memory usage of `ConditionalFeedForward` HOT 4
- Tiny Llamas Not Found HOT 2
- INT4 quantization not working on MI210 HOT 2
- Input token length question HOT 2
- Naming: n_local_heads -> n_kv_heads
- mmap issue in bf16 of gpt-fast
- Tensor Parallel Inside notebook
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- Throughput Benchmark Scripts HOT 2
- Hard-coded Llama-3 model name pattern matching breaks scripts/convert_hf_checkpoint.py
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