diff --git a/ggml.c b/ggml.c index 3202a517b..ada1067da 100644 --- a/ggml.c +++ b/ggml.c @@ -18073,7 +18073,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p { ctx->kv = malloc(ctx->header.n_kv * sizeof(struct gguf_kv)); - for (uint32_t i = 0; i < ctx->header.n_kv; ++i) { + for (uint64_t i = 0; i < ctx->header.n_kv; ++i) { struct gguf_kv * kv = &ctx->kv[i]; //fprintf(stderr, "%s: reading kv %d\n", __func__, i); @@ -18120,7 +18120,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p case GGUF_TYPE_STRING: { kv->value.arr.data = malloc(kv->value.arr.n * sizeof(struct gguf_str)); - for (uint32_t j = 0; j < kv->value.arr.n; ++j) { + for (uint64_t j = 0; j < kv->value.arr.n; ++j) { ok = ok && gguf_fread_str(file, &((struct gguf_str *) kv->value.arr.data)[j], &offset); } } break; @@ -18148,7 +18148,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p { ctx->infos = malloc(ctx->header.n_tensors * sizeof(struct gguf_tensor_info)); - for (uint32_t i = 0; i < ctx->header.n_tensors; ++i) { + for (uint64_t i = 0; i < ctx->header.n_tensors; ++i) { struct gguf_tensor_info * info = &ctx->infos[i]; for (int j = 0; j < GGML_MAX_DIMS; ++j) { @@ -18195,7 +18195,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p // compute the total size of the data section, taking into account the alignment { ctx->size = 0; - for (uint32_t i = 0; i < ctx->header.n_tensors; ++i) { + for (uint64_t i = 0; i < ctx->header.n_tensors; ++i) { struct gguf_tensor_info * info = &ctx->infos[i]; const int64_t ne = @@ -18264,7 +18264,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p ggml_set_no_alloc(ctx_data, true); // create the tensors - for (uint32_t i = 0; i < ctx->header.n_tensors; ++i) { + for (uint64_t i = 0; i < ctx->header.n_tensors; ++i) { const int64_t ne[GGML_MAX_DIMS] = { ctx->infos[i].ne[0], ctx->infos[i].ne[1],