Gemma: unable to load GGUF Quant

[nanowell]

$ ./main -m "C:/Tools/models/gemma-7b-it-Q5_K_M.gguf" -n 128
Log start
main: build = 2229 (5022cf2)
main: built with cc (GCC) 13.1.0 for x86_64-w64-mingw32
main: seed = 1708530209
llama_model_loader: loaded meta data with 24 key-value pairs and 254 tensors from C:/Tools/models/gemma-7b-it-Q5_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 = llama
llama_model_loader: - kv 1: general.name str = models
llama_model_loader: - kv 2: llama.context_length u32 = 8192
llama_model_loader: - kv 3: llama.embedding_length u32 = 3072
llama_model_loader: - kv 4: llama.block_count u32 = 28
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 24576
llama_model_loader: - kv 6: llama.rope.dimension_count u32 = 192
llama_model_loader: - kv 7: llama.attention.head_count u32 = 16
llama_model_loader: - kv 8: llama.attention.head_count_kv u32 = 16
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 10: llama.rope.freq_base f32 = 10000.000000
llama_model_loader: - kv 11: general.file_type u32 = 17
llama_model_loader: - kv 12: tokenizer.ggml.model str = llama
llama_model_loader: - kv 13: tokenizer.ggml.tokens arr[str,256000] = ["", "", "", "", ...
llama_model_loader: - kv 14: tokenizer.ggml.scores arr[f32,256000] = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv 15: tokenizer.ggml.token_type arr[i32,256000] = [3, 3, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 16: tokenizer.ggml.bos_token_id u32 = 2
llama_model_loader: - kv 17: tokenizer.ggml.eos_token_id u32 = 1
llama_model_loader: - kv 18: tokenizer.ggml.unknown_token_id u32 = 3
llama_model_loader: - kv 19: tokenizer.ggml.padding_token_id u32 = 0
llama_model_loader: - kv 20: tokenizer.ggml.add_bos_token bool = true
llama_model_loader: - kv 21: tokenizer.ggml.add_eos_token bool = false
llama_model_loader: - kv 22: tokenizer.chat_template str = {% if messages[0]['role'] == 'system'...
llama_model_loader: - kv 23: general.quantization_version u32 = 2
llama_model_loader: - type f32: 57 tensors
llama_model_loader: - type q5_K: 169 tensors
llama_model_loader: - type q6_K: 28 tensors
llm_load_vocab: mismatch in special tokens definition ( 416/256000 vs 260/256000 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = SPM
llm_load_print_meta: n_vocab = 256000
llm_load_print_meta: n_merges = 0
llm_load_print_meta: n_ctx_train = 8192
llm_load_print_meta: n_embd = 3072
llm_load_print_meta: n_head = 16
llm_load_print_meta: n_head_kv = 16
llm_load_print_meta: n_layer = 28
llm_load_print_meta: n_rot = 192
llm_load_print_meta: n_embd_head_k = 192
llm_load_print_meta: n_embd_head_v = 192
llm_load_print_meta: n_gqa = 1
llm_load_print_meta: n_embd_k_gqa = 3072
llm_load_print_meta: n_embd_v_gqa = 3072
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-06
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: n_ff = 24576
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
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 = 8192
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: model type = ?B
llm_load_print_meta: model ftype = Q5_K - Medium
llm_load_print_meta: model params = 8.54 B
llm_load_print_meta: model size = 5.62 GiB (5.65 BPW)
llm_load_print_meta: general.name = models
llm_load_print_meta: BOS token = 2 ''
llm_load_print_meta: EOS token = 1 ''
llm_load_print_meta: UNK token = 3 ''
llm_load_print_meta: PAD token = 0 ''
llm_load_print_meta: LF token = 227 '<0x0A>'
llm_load_tensors: ggml ctx size = 0.10 MiB
llama_model_load: error loading model: create_tensor: tensor 'output.weight' not found
llama_load_model_from_file: failed to load model
llama_init_from_gpt_params: error: failed to load model 'C:/Tools/models/gemma-7b-it-Q5_K_M.gguf'
main: error: unable to load model

[stduhpf]

Did you quantize it to q5_k_m yourself or did you find it somewhere?
I have the same issue with gemma-2b q8_0 quantized by sayhan on hf.
But I can run this q4_k_m of gemma 7b rahuldshetty by without this error...

[nanowell]

Fixed. Everything works with this quant

[jteration]

Looks like they are talking about the issues in #5631