Not working with llama-cpp-python
#1
by
hassan404
- opened
Following the instructions given here https://llama-cpp-python.readthedocs.io/en/latest/server/#code-completion
Command used: python3 -m llama_cpp.server --model replit-code-v1_5-3b.f16.gguf --n_ctx 16192
Console output
llama_model_loader: loaded meta data with 17 key-value pairs and 195 tensors from replit-code-v1_5-3b.f16.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 = mpt
llama_model_loader: - kv 1: general.name str = replit-code-v1_5-3b
llama_model_loader: - kv 2: mpt.context_length u32 = 4096
llama_model_loader: - kv 3: mpt.embedding_length u32 = 3072
llama_model_loader: - kv 4: mpt.block_count u32 = 32
llama_model_loader: - kv 5: mpt.feed_forward_length u32 = 12288
llama_model_loader: - kv 6: mpt.attention.head_count u32 = 24
llama_model_loader: - kv 7: mpt.attention.head_count_kv u32 = 8
llama_model_loader: - kv 8: mpt.attention.layer_norm_epsilon f32 = 0.000010
llama_model_loader: - kv 9: mpt.attention.max_alibi_bias f32 = 8.000000
llama_model_loader: - kv 10: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 11: tokenizer.ggml.tokens arr[str,32768] = ["<|endoftext|>", "<|padding|>", "<fi...
llama_model_loader: - kv 12: tokenizer.ggml.token_type arr[i32,32768] = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ...
llama_model_loader: - kv 13: tokenizer.ggml.merges arr[str,32494] = ["Ġ Ġ", "ĠĠ ĠĠ", "ĠĠĠĠ ĠĠ...
llama_model_loader: - kv 14: tokenizer.ggml.bos_token_id u32 = 0
llama_model_loader: - kv 15: tokenizer.ggml.eos_token_id u32 = 0
llama_model_loader: - kv 16: tokenizer.ggml.unknown_token_id u32 = 0
llama_model_loader: - type f32: 65 tensors
llama_model_loader: - type f16: 130 tensors
llm_load_vocab: special tokens definition check successful ( 18/32768 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = mpt
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 32768
llm_load_print_meta: n_merges = 32494
llm_load_print_meta: n_ctx_train = 4096
llm_load_print_meta: n_embd = 3072
llm_load_print_meta: n_head = 24
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_embd_head_k = 128
llm_load_print_meta: n_embd_head_v = 128
llm_load_print_meta: n_gqa = 3
llm_load_print_meta: n_embd_k_gqa = 1024
llm_load_print_meta: n_embd_v_gqa = 1024
llm_load_print_meta: f_norm_eps = 1.0e-05
llm_load_print_meta: f_norm_rms_eps = 0.0e+00
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 8.0e+00
llm_load_print_meta: n_ff = 12288
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
llm_load_print_meta: pooling type = 0
llm_load_print_meta: rope type = -1
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 4096
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: model type = 7B
llm_load_print_meta: model ftype = F16 (guessed)
llm_load_print_meta: model params = 3.42 B
llm_load_print_meta: model size = 6.38 GiB (16.00 BPW)
llm_load_print_meta: general.name = replit-code-v1_5-3b
llm_load_print_meta: BOS token = 0 '<|endoftext|>'
llm_load_print_meta: EOS token = 0 '<|endoftext|>'
llm_load_print_meta: UNK token = 0 '<|endoftext|>'
llm_load_print_meta: LF token = 146 'Ä'
llm_load_tensors: ggml ctx size = 0.07 MiB
llama_model_load: error loading model: done_getting_tensors: wrong number of tensors; expected 195, got 194
llama_load_model_from_file: failed to load model
llama_cpp.server did not work with any model
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