make rms_norm_eps a parameter (#2374)
* make rms_norm_eps a parameter * add rms_norm_eps to command line * fix baby llama, test-grad0 * use scientific notation for eps param in the help ggml-ci
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11 changed files with 89 additions and 56 deletions
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@ -22,18 +22,19 @@
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int32_t get_num_physical_cores();
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struct gpt_params {
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uint32_t seed = -1; // RNG seed
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uint32_t seed = -1; // RNG seed
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int32_t n_threads = get_num_physical_cores();
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int32_t n_predict = -1; // new tokens to predict
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int32_t n_ctx = 512; // context size
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int32_t n_batch = 512; // batch size for prompt processing (must be >=32 to use BLAS)
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int32_t n_gqa = 1; // grouped-query attention factor (TODO: move to hparams)
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int32_t n_keep = 0; // number of tokens to keep from initial prompt
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int32_t n_chunks = -1; // max number of chunks to process (-1 = unlimited)
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int32_t n_gpu_layers = 0; // number of layers to store in VRAM
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int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
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float tensor_split[LLAMA_MAX_DEVICES] = {0}; // how split tensors should be distributed across GPUs
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int32_t n_probs = 0; // if greater than 0, output the probabilities of top n_probs tokens.
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int32_t n_predict = -1; // new tokens to predict
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int32_t n_ctx = 512; // context size
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int32_t n_batch = 512; // batch size for prompt processing (must be >=32 to use BLAS)
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int32_t n_gqa = 1; // grouped-query attention factor (TODO: move to hparams)
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int32_t n_keep = 0; // number of tokens to keep from initial prompt
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int32_t n_chunks = -1; // max number of chunks to process (-1 = unlimited)
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int32_t n_gpu_layers = 0; // number of layers to store in VRAM
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int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
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float tensor_split[LLAMA_MAX_DEVICES] = {0}; // how split tensors should be distributed across GPUs
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int32_t n_probs = 0; // if greater than 0, output the probabilities of top n_probs tokens.
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float rms_norm_eps = 1e-6; // rms norm epsilon
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float rope_freq_base = 10000.0f; // RoPE base frequency
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float rope_freq_scale = 1.0f; // RoPE frequency scaling factor
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