diff options
Diffstat (limited to 'llama.cpp')
| -rw-r--r-- | llama.cpp | 25 |
1 files changed, 25 insertions, 0 deletions
@@ -1036,6 +1036,12 @@ static void llama_model_load_internal( case 40: model.type = e_model::MODEL_13B; break; case 60: model.type = e_model::MODEL_30B; break; case 80: model.type = e_model::MODEL_65B; break; + default: + { + if (hparams.n_layer < 32) { + model.type = e_model::MODEL_7B; + } + } break; } hparams.n_ctx = n_ctx; @@ -1200,6 +1206,7 @@ static void llama_model_load_internal( mem_required / 1024.0 / 1024.0, mem_required_state / 1024.0 / 1024.0); (void) vram_scratch; + (void) n_batch; #ifdef GGML_USE_CUBLAS vram_scratch = n_batch * MB; ggml_cuda_set_scratch_size(vram_scratch); @@ -1227,6 +1234,7 @@ static void llama_model_load_internal( model.tensors_by_name.emplace_back(lt.name, lt.ggml_tensor); } + (void) tensor_split; #if defined(GGML_USE_CUBLAS) { ggml_cuda_set_tensor_split(tensor_split); @@ -2161,6 +2169,10 @@ llama_token llama_sample_token_mirostat_v2(struct llama_context * ctx, llama_tok return -log2f(candidate.p) > *mu; })); + if (candidates->size == 0) { + candidates->size = 1; + } + // Normalize the probabilities of the remaining words llama_sample_softmax(ctx, candidates); @@ -3287,6 +3299,19 @@ int llama_n_embd(const struct llama_context * ctx) { return ctx->model.hparams.n_embd; } +int llama_get_vocab( + const struct llama_context * ctx, + const char * * strings, + float * scores, + int capacity) { + int n = std::min(capacity, (int) ctx->vocab.id_to_token.size()); + for (int i = 0; i<n; ++i) { + strings[i] = ctx->vocab.id_to_token[i].tok.c_str(); + scores[i] = ctx->vocab.id_to_token[i].score; + } + return n; +} + float * llama_get_logits(struct llama_context * ctx) { return ctx->logits.data(); } |