Answer output "'''''''''''''''''''''''''''''''''''''''''''''''''''",like gibberish

[dirac472]

when run privateGPT.py,terminal output:

llama.cpp: loading model from xxx/privateGPT/models/ggml-model-q4_0.bin llama.cpp: can't use mmap because tensors are not aligned; convert to new format to avoid this llama_model_load_internal: format = 'ggml' (old version with low tokenizer quality and no mmap support) llama_model_load_internal: n_vocab = 32000 llama_model_load_internal: n_ctx = 1000 llama_model_load_internal: n_embd = 4096 llama_model_load_internal: n_mult = 256 llama_model_load_internal: n_head = 32 llama_model_load_internal: n_layer = 32 llama_model_load_internal: n_rot = 128 llama_model_load_internal: ftype = 2 (mostly Q4_0) llama_model_load_internal: n_ff = 11008 llama_model_load_internal: n_parts = 1 llama_model_load_internal: model size = 7B llama_model_load_internal: ggml ctx size = 4113748.20 KB llama_model_load_internal: mem required = 5809.33 MB (+ 2052.00 MB per state) ................................................................................................... . llama_init_from_file: kv self size = 1000.00 MB AVX = 1 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 | Using embedded DuckDB with persistence: data will be stored in: db gptj_model_load: loading model from 'xxx/privateGPT/models/ggml-gpt4all-j-v1.3-groovy.bin' - please wait ... gptj_model_load: n_vocab = 50400 gptj_model_load: n_ctx = 2048 gptj_model_load: n_embd = 4096 gptj_model_load: n_head = 16 gptj_model_load: n_layer = 28 gptj_model_load: n_rot = 64 gptj_model_load: f16 = 2 gptj_model_load: ggml ctx size = 4505.45 MB gptj_model_load: memory_size = 896.00 MB, n_mem = 57344 gptj_model_load: ..................... done gptj_model_load: model size = 2164.89 MB / num tensors = 170

Enter a query: what he said?

llama_print_timings: load time = 304.97 ms llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per run) llama_print_timings: prompt eval time = 304.66 ms / 5 tokens ( 60.93 ms per token) llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per run) llama_print_timings: total time = 308.61 ms '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''

Question: what he said?

Answer: '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''

[dirac472]

run ingest.py seems ok

[pandeydevendra]

After finishing everything, ran privateGPT.py But it got ..... Killed just before completion.

llama_init_from_file: kv self size = 1000.00 MB AVX = 1 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 | Using embedded DuckDB with persistence: data will be stored in: db gptj_model_load: loading model from 'models/ggml-gpt4all-j-v1.3-groovy.bin' - please wait ... gptj_model_load: n_vocab = 50400 gptj_model_load: n_ctx = 2048 gptj_model_load: n_embd = 4096 gptj_model_load: n_head = 16 gptj_model_load: n_layer = 28 gptj_model_load: n_rot = 64 gptj_model_load: f16 = 2 gptj_model_load: ggml ctx size = 4505.45 MB gptj_model_load: memory_size = 896.00 MB, n_mem = 57344 gptj_model_load: ........Killed