vbatts/llama.cpp
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ggml : GPU-accelerated token generation (#1412)

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* CUDA kernel for q4_0 dequant. + mat. vec. mult.

* Added q4_1 via template

* Added missing __syncthreads();

* --gpu_layers -> --gpu-layers

* Shorter dequantize_mul_mat_vec line

* q5_0 dequantize_mul_mat kernel

* More readable dequantize_mul_mat_vec logic

* dequantize_mul_mat_vec kernels for q5_1, q8_0, f16

* llama : offload "output" tensor to GPU too + coding style fixes

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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Johannes Gäßler 2023-05-13 15:38:36 +02:00 • committed by GitHub
parent f954edda93
commit 905d87b70a
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8 changed files with 336 additions and 42 deletions
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llama.h
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@ -54,9 +54,10 @@ extern "C" {
typedef void (*llama_progress_callback)(float progress, void *ctx);
struct llama_context_params {
int n_ctx; // text context
int n_parts; // -1 for default
int seed; // RNG seed, -1 for random
int n_ctx; // text context
int n_parts; // -1 for default
int n_gpu_layers; // number of layers to store in VRAM
int seed; // RNG seed, -1 for random
bool f16_kv; // use fp16 for KV cache
bool logits_all; // the llama_eval() call computes all logits, not just the last one