Hi,
I can’t seem to be able to use Artilla at all. I am on the latest version. I can’t find a way to see what it is, but I actually downloaded 8.2.2 off of the GitHub releases, and I’m pasting the error that I have. I’m on Windows 10.
Error from local LLM: llama-server exited prematurely with status: exit code: 1.
Stderr: load_backend: loaded RPC backend from C:\Users\Rodolfo\AppData\Local\RTILA\runtime\x86_64\ggml-rpc.dll
ggml_vulkan: Found 1 Vulkan devices:
ggml_vulkan: 0 = NVIDIA GeForce GTX 780 Ti (NVIDIA) | uma: 0 | fp16: 0 | bf16: 0 | warp size: 32 | shared memory: 49152 | int dot: 0 | matrix cores: none
load_backend: loaded Vulkan backend from C:\Users\Rodolfo\AppData\Local\RTILA\runtime\x86_64\ggml-vulkan.dll
load_backend: loaded CPU backend from C:\Users\Rodolfo\AppData\Local\RTILA\runtime\x86_64\ggml-cpu-haswell.dll
main: n_parallel is set to auto, using n_parallel = 4 and kv_unified = true
build: 8300 (f2ab047f2) with Clang 19.1.5 for Windows x86_64
system info: n_threads = 4, n_threads_batch = 4, total_threads = 8
system_info: n_threads = 4 (n_threads_batch = 4) / 8 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | LLAMAFILE = 1 | OPENMP = 1 | REPACK = 1 |
Running without SSL
init: using 7 threads for HTTP server
start: binding port with default address family
main: loading model
srv load_model: loading model ‘C:\Users\Rodolfo.rtila-x/models\qwen3.5-9b-Q4_K_M.gguf’
common_init_result: fitting params to device memory, for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on
llama_params_fit_impl: projected to use 6026 MiB of device memory vs. 2369 MiB of free device memory
llama_params_fit_impl: cannot meet free memory target of 1024 MiB, need to reduce device memory by 4680 MiB
llama_params_fit_impl: context size set by user to 16384 → no change
llama_params_fit: failed to fit params to free device memory: n_gpu_layers already set by user to 999, abort
llama_params_fit: fitting params to free memory took 1.02 seconds
llama_model_load_from_file_impl: using device Vulkan0 (NVIDIA GeForce GTX 780 Ti) (0000:01:00.0) - 2570 MiB free
llama_model_loader: loaded meta data with 35 key-value pairs and 427 tensors from C:\Users\Rodolfo.rtila-x/models\qwen3.5-9b-Q4_K_M.gguf (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = qwen35
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Temp_Gguf
llama_model_loader: - kv 3: general.quantized_by str = Unsloth
llama_model_loader: - kv 4: general.size_label str = 9.0B
llama_model_loader: - kv 5: general.repo_url str = unsloth (Unsloth AI)
llama_model_loader: - kv 6: general.tags arr[str,2] = [“unsloth”, “llama.cpp”]
llama_model_loader: - kv 7: qwen35.block_count u32 = 32
llama_model_loader: - kv 8: qwen35.context_length u32 = 262144
llama_model_loader: - kv 9: qwen35.embedding_length u32 = 4096
llama_model_loader: - kv 10: qwen35.feed_forward_length u32 = 12288
llama_model_loader: - kv 11: qwen35.attention.head_count u32 = 16
llama_model_loader: - kv 12: qwen35.attention.head_count_kv u32 = 4
llama_model_loader: - kv 13: qwen35.rope.dimension_sections arr[i32,4] = [11, 11, 10, 0]
llama_model_loader: - kv 14: qwen35.rope.freq_base f32 = 10000000.000000
llama_model_loader: - kv 15: qwen35.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 16: qwen35.attention.key_length u32 = 256
llama_model_loader: - kv 17: qwen35.attention.value_length u32 = 256
llama_model_loader: - kv 18: qwen35.ssm.conv_kernel u32 = 4
llama_model_loader: - kv 19: qwen35.ssm.state_size u32 = 128
llama_model_loader: - kv 20: qwen35.ssm.group_count u32 = 16
llama_model_loader: - kv 21: qwen35.ssm.time_step_rank u32 = 32
llama_model_loader: - kv 22: qwen35.ssm.inner_size u32 = 4096
llama_model_loader: - kv 23: qwen35.full_attention_interval u32 = 4
llama_model_loader: - kv 24: qwen35.rope.dimension_count u32 = 64
llama_model_loader: - kv 25: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 26: tokenizer.ggml.pre str = qwen35
llama_model_loader: - kv 27: tokenizer.ggml.tokens arr[str,248320] = [“!”, “"”, “#”, “$”, “%”, “&”, “'”, …
llama_model_loader: - kv 28: tokenizer.ggml.token_type arr[i32,248320] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
llama_model_loader: - kv 29: tokenizer.ggml.merges arr[str,247587] = [“Ġ Ġ”, “ĠĠ ĠĠ”, “i n”, “Ġ t”,…
llama_model_loader: - kv 30: tokenizer.ggml.eos_token_id u32 = 248046
llama_model_loader: - kv 31: tokenizer.ggml.padding_token_id u32 = 248055
llama_model_loader: - kv 32: tokenizer.chat_template str = {%- set image_count = namespace(value…
llama_model_loader: - kv 33: general.quantization_version u32 = 2
llama_model_loader: - kv 34: general.file_type u32 = 15
llama_model_loader: - type f32: 177 tensors
llama_model_loader: - type q4_K: 217 tensors
llama_model_loader: - type q6_K: 33 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q4_K - Medium
print_info: file size = 5.23 GiB (5.02 BPW)
load: 0 unused tokens
load: printing all EOG tokens:
load: - 248044 (‘<|endoftext|>’)
load: - 248046 (‘<|im_end|>’)
load: - 248063 (‘<|fim_pad|>’)
load: - 248064 (‘<|repo_name|>’)
load: - 248065 (‘<|file_sep|>’)
load: special tokens cache size = 33
load: token to piece cache size = 1.7581 MB
print_info: arch = qwen35
print_info: vocab_only = 0
print_info: no_alloc = 0
print_info: n_ctx_train = 262144
print_info: n_embd = 4096
print_info: n_embd_inp = 4096
print_info: n_layer = 32
print_info: n_head = 16
print_info: n_head_kv = 4
print_info: n_rot = 64
print_info: n_swa = 0
print_info: is_swa_any = 0
print_info: n_embd_head_k = 256
print_info: n_embd_head_v = 256
print_info: n_gqa = 4
print_info: n_embd_k_gqa = 1024
print_info: n_embd_v_gqa = 1024
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-06
print_info: f_clamp_kqv = 0.0e+00
print_info: f_max_alibi_bias = 0.0e+00
print_info: f_logit_scale = 0.0e+00
print_info: f_attn_scale = 0.0e+00
print_info: n_ff = 12288
print_info: n_expert = 0
print_info: n_expert_used = 0
print_info: n_expert_groups = 0
print_info: n_group_used = 0
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 40
print_info: rope scaling = linear
print_info: freq_base_train = 10000000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 262144
print_info: rope_yarn_log_mul = 0.0000
print_info: rope_finetuned = unknown
print_info: mrope sections = [11, 11, 10, 0]
print_info: ssm_d_conv = 4
print_info: ssm_d_inner = 4096
print_info: ssm_d_state = 128
print_info: ssm_dt_rank = 32
print_info: ssm_n_group = 16
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 9B
print_info: model params = 8.95 B
print_info: general.name = Temp_Gguf
print_info: vocab type = BPE
print_info: n_vocab = 248320
print_info: n_merges = 247587
print_info: BOS token = 11 ‘,’
print_info: EOS token = 248046 ‘<|im_end|>’
print_info: EOT token = 248046 ‘<|im_end|>’
print_info: PAD token = 248055 ‘<|vision_pad|>’
print_info: LF token = 198 ‘Ċ’
print_info: FIM PRE token = 248060 ‘<|fim_prefix|>’
print_info: FIM SUF token = 248062 ‘<|fim_suffix|>’
print_info: FIM MID token = 248061 ‘<|fim_middle|>’
print_info: FIM PAD token = 248063 ‘<|fim_pad|>’
print_info: FIM REP token = 248064 ‘<|repo_name|>’
print_info: FIM SEP token = 248065 ‘<|file_sep|>’
print_info: EOG token = 248044 ‘<|endoftext|>’
print_info: EOG token = 248046 ‘<|im_end|>’
print_info: EOG token = 248063 ‘<|fim_pad|>’
print_info: EOG token = 248064 ‘<|repo_name|>’
print_info: EOG token = 248065 ‘<|file_sep|>’
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while… (mmap = true, direct_io = false)
ggml_vulkan: Device memory allocation of size 1050944000 failed.
ggml_vulkan: vk::Device::allocateMemory: ErrorOutOfDeviceMemory
alloc_tensor_range: failed to allocate Vulkan0 buffer of size 1050944000
llama_model_load: error loading model: unable to allocate Vulkan0 buffer
llama_model_load_from_file_impl: failed to load model
common_init_from_params: failed to load model ‘C:\Users\Rodolfo.rtila-x/models\qwen3.5-9b-Q4_K_M.gguf’
srv load_model: failed to load model, ‘C:\Users\Rodolfo.rtila-x/models\qwen3.5-9b-Q4_K_M.gguf’
srv operator(): operator(): cleaning up before exit…
main: exiting due to model loading error