OpenAI-gpt2 series
Collection
GGUF quantized OpenAI GPT-2 series • 3 items • Updated
The result of 1.5B GPT2
system_info: n_threads = 4 / 8 | AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
main: interactive mode on.
Reverse prompt: 'User:'
sampling:
repeat_last_n = 64, repeat_penalty = 1.000, frequency_penalty = 0.000, presence_penalty = 0.000
top_k = 40, tfs_z = 1.000, top_p = 0.950, min_p = 0.050, typical_p = 1.000, temp = 0.800
mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000
sampling order:
CFG -> Penalties -> top_k -> tfs_z -> typical_p -> top_p -> min_p -> temperature
generate: n_ctx = 1024, n_batch = 2048, n_predict = 256, n_keep = 0
== Running in interactive mode. ==
- Press Ctrl+C to interject at any time.
- Press Return to return control to the AI.
- To return control without starting a new line, end your input with '/'.
- If you want to submit another line, end your input with '\'.
Transcript of a dialog, where the User interacts with an Assistant named Bob. Bob is helpful, kind, honest, good at writing, and never fails to answer the User's requests immediately and with precision.
User: Hello, Bob.
Bob: Hello. How may I help you today?
User: Please tell me the largest city in Europe.
Bob: Sure. The largest city in Europe is Moscow, the capital of Russia.
User:What is the largest city in Australia?
Bob: The largest city in Australia is Melbourne, the capital of Victoria.
User:What is the largest city in US
Bob: The largest city in US is Los Angeles, the capital of California.
User:thanks
Bob:Thanks for calling.
Bob is not a robot, and may be a human being who is not a robot. Bob is an Assistant that is helpful, kind, honest, good at writing and never fails to answer the User's requests.
User:
llama_print_timings: load time = 227.51 ms
llama_print_timings: sample time = 3.31 ms / 97 runs ( 0.03 ms per token, 29269.76 tokens per second)
llama_print_timings: prompt eval time = 29632.23 ms / 116 tokens ( 255.45 ms per token, 3.91 tokens per second)
llama_print_timings: eval time = 4239.84 ms / 94 runs ( 45.10 ms per token, 22.17 tokens per second)
llama_print_timings: total time = 76118.37 ms / 210 tokens
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