bartowski

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DeepSeek-R1-Distill-Qwen-32B-GGUF

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FIXED

Turns out a few months ago when llama.cpp switched from Make to cmake, I kept using my stale llama-server instead of the fresh one in build/bin/llama-server. I noticed my git sha didn't line up with the binary. Haha.. Ooops.

Everything is working good now!

Original Post

Anyone else getting this error on llama-server? I just pulled latest, rebuilt, and ran the following command.

I'm currently downloading the unsloth version to try to see if that one works?

Will keep trolling r/LocalLLaMA for any other tips. Thanks!

Command

$ git rev-parse --short HEAD
80d0d6b4
$ ./llama-server \
    --model "../models/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-Q4_K_M.gguf" \
    --n-gpu-layers 99 \
    --ctx-size 8192 \
    --parallel 1 \
    --cache-type-k f16 \
    --cache-type-v f16 \
    --threads 16 \
    --flash-attn \
    --mlock \
    --host 127.0.0.1 \
    --port 8080

Trace

ggml_cuda_init: GGML_CUDA_FORCE_MMQ:    no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 CUDA devices:
  Device 0: NVIDIA GeForce RTX 3090 Ti, compute capability 8.6, VMM: yes
build: 3985 (524afeec) with cc (GCC) 14.2.1 20240910 for x86_64-pc-linux-gnu
system info: n_threads = 16, n_threads_batch = 16, total_threads = 32

system_info: n_threads = 16 (n_threads_batch = 16) / 32 | AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | AMX_INT8 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | RISCV_VECT = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |

main: HTTP server is listening, hostname: 127.0.0.1, port: 8080, http threads: 31
main: loading model
llama_load_model_from_file: using device CUDA0 (NVIDIA GeForce RTX 3090 Ti) - 23083 MiB free
llama_model_loader: loaded meta data with 30 key-value pairs and 771 tensors from ../models/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-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              = qwen2
llama_model_loader: - kv   1:                               general.type str              = model
llama_model_loader: - kv   2:                               general.name str              = DeepSeek R1 Distill Qwen 32B
llama_model_loader: - kv   3:                           general.basename str              = DeepSeek-R1-Distill-Qwen
llama_model_loader: - kv   4:                         general.size_label str              = 32B
llama_model_loader: - kv   5:                          qwen2.block_count u32              = 64
llama_model_loader: - kv   6:                       qwen2.context_length u32              = 131072
llama_model_loader: - kv   7:                     qwen2.embedding_length u32              = 5120
llama_model_loader: - kv   8:                  qwen2.feed_forward_length u32              = 27648
llama_model_loader: - kv   9:                 qwen2.attention.head_count u32              = 40
llama_model_loader: - kv  10:              qwen2.attention.head_count_kv u32              = 8
llama_model_loader: - kv  11:                       qwen2.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  12:     qwen2.attention.layer_norm_rms_epsilon f32              = 0.000010
llama_model_loader: - kv  13:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  14:                         tokenizer.ggml.pre str              = deepseek-r1-qwen
llama_model_loader: - kv  15:                      tokenizer.ggml.tokens arr[str,152064]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  16:                  tokenizer.ggml.token_type arr[i32,152064]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  17:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  18:                tokenizer.ggml.bos_token_id u32              = 151646
llama_model_loader: - kv  19:                tokenizer.ggml.eos_token_id u32              = 151643
llama_model_loader: - kv  20:            tokenizer.ggml.padding_token_id u32              = 151643
llama_model_loader: - kv  21:               tokenizer.ggml.add_bos_token bool             = true
llama_model_loader: - kv  22:               tokenizer.ggml.add_eos_token bool             = false
llama_model_loader: - kv  23:                    tokenizer.chat_template str              = {% if not add_generation_prompt is de...
llama_model_loader: - kv  24:               general.quantization_version u32              = 2
llama_model_loader: - kv  25:                          general.file_type u32              = 15
llama_model_loader: - kv  26:                      quantize.imatrix.file str              = /models_out/DeepSeek-R1-Distill-Qwen-...
llama_model_loader: - kv  27:                   quantize.imatrix.dataset str              = /training_dir/calibration_datav3.txt
llama_model_loader: - kv  28:             quantize.imatrix.entries_count i32              = 448
llama_model_loader: - kv  29:              quantize.imatrix.chunks_count i32              = 128
llama_model_loader: - type  f32:  321 tensors
llama_model_loader: - type q4_K:  385 tensors
llama_model_loader: - type q6_K:   65 tensors
llama_model_load: error loading model: error loading model vocabulary: unknown pre-tokenizer type: 'deepseek-r1-qwen'
llama_load_model_from_file: failed to load model
common_init_from_params: failed to load model '../models/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-Q4_K_M.gguf'
srv    load_model: failed to load model, '../models/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-Q4_K_M.gguf'
main: exiting due to model loading error