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[GH-ISSUE #6297] Models not loading when using ROCm(Radeon VII) #3947

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opened 2026-04-12 14:49:31 -05:00 by GiteaMirror · 2 comments
GiteaMirror commented 2026-04-12 14:49:31 -05:00
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Originally created by @WannaBeOCer on GitHub (Aug 10, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/6297

Originally assigned to: @dhiltgen on GitHub.

What is the issue?

This is deployed via Helm with a Radeon VII. I'm aware gfx906 is no longer supported and is in maintenance mode. Let me know if you suggest using a different version of ollama. I tried both 0.3.3 and 0.3.4 and both have the same issue even with smaller models like gemma2:2b. When the model gemma2:9b loads it works perfectly along with other models.

values.yaml

ollama:
  image:
     repository: ollama/ollama
     tag: "rocm"
     pullPolicy: "Always"
  resources:
    limits:
      amd.com/gpu: 1
  extraEnv:
    - name: HSA_OVERRIDE_GFX_VERSION
      value: "9.0.6"

time=2024-08-10T07:22:45.652Z level=INFO source=sched.go:710 msg="new model will fit in available VRAM in single GPU, loading" model=/root/.ollama/models/blobs/sha256-ff1d1fc78170d787ee1201778e2dd65ea211654ca5fb7d69b5a2e7b123a50373 gpu=0 parallel=4 available=17152241664 required="8.8 GiB"
time=2024-08-10T07:22:45.652Z level=INFO source=memory.go:309 msg="offload to rocm" layers.requested=-1 layers.model=43 layers.offload=43 layers.split="" memory.available="[16.0 GiB]" memory.required.full="8.8 GiB" memory.required.partial="8.8 GiB" memory.required.kv="2.6 GiB" memory.required.allocations="[8.8 GiB]" memory.weights.total="7.0 GiB" memory.weights.repeating="6.3 GiB" memory.weights.nonrepeating="717.8 MiB" memory.graph.full="507.0 MiB" memory.graph.partial="1.2 GiB"
time=2024-08-10T07:22:45.653Z level=INFO source=server.go:392 msg="starting llama server" cmd="/tmp/ollama1813119290/runners/rocm_v60102/ollama_llama_server --model /root/.ollama/models/blobs/sha256-ff1d1fc78170d787ee1201778e2dd65ea211654ca5fb7d69b5a2e7b123a50373 --ctx-size 8192 --batch-size 512 --embedding --log-disable --n-gpu-layers 43 --parallel 4 --port 46625"
time=2024-08-10T07:22:45.653Z level=INFO source=sched.go:445 msg="loaded runners" count=1
time=2024-08-10T07:22:45.653Z level=INFO source=server.go:592 msg="waiting for llama runner to start responding"
time=2024-08-10T07:22:45.654Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server error"
INFO [main] build info | build=1 commit="1e6f655" tid="128049608143680" timestamp=1723274565
INFO [main] system info | n_threads=8 n_threads_batch=-1 system_info="AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 0 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | " tid="128049608143680" timestamp=1723274565 total_threads=8
INFO [main] HTTP server listening | hostname="127.0.0.1" n_threads_http="7" port="46625" tid="128049608143680" timestamp=1723274565
llama_model_loader: loaded meta data with 29 key-value pairs and 464 tensors from /root/.ollama/models/blobs/sha256-ff1d1fc78170d787ee1201778e2dd65ea211654ca5fb7d69b5a2e7b123a50373 (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              = gemma2
llama_model_loader: - kv   1:                               general.name str              = gemma-2-9b-it
llama_model_loader: - kv   2:                      gemma2.context_length u32              = 8192
llama_model_loader: - kv   3:                    gemma2.embedding_length u32              = 3584
llama_model_loader: - kv   4:                         gemma2.block_count u32              = 42
llama_model_loader: - kv   5:                 gemma2.feed_forward_length u32              = 14336
llama_model_loader: - kv   6:                gemma2.attention.head_count u32              = 16
llama_model_loader: - kv   7:             gemma2.attention.head_count_kv u32              = 8
llama_model_loader: - kv   8:    gemma2.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv   9:                gemma2.attention.key_length u32              = 256
llama_model_loader: - kv  10:              gemma2.attention.value_length u32              = 256
llama_model_loader: - kv  11:                          general.file_type u32              = 2
llama_model_loader: - kv  12:              gemma2.attn_logit_softcapping f32              = 50.000000
llama_model_loader: - kv  13:             gemma2.final_logit_softcapping f32              = 30.000000
llama_model_loader: - kv  14:            gemma2.attention.sliding_window u32              = 4096
llama_model_loader: - kv  15:                       tokenizer.ggml.model str              = llama
llama_model_loader: - kv  16:                         tokenizer.ggml.pre str              = default
llama_model_loader: - kv  17:                      tokenizer.ggml.tokens arr[str,256000]  = ["<pad>", "<eos>", "<bos>", "<unk>", ...
llama_model_loader: - kv  18:                      tokenizer.ggml.scores arr[f32,256000]  = [0.000000, 0.000000, 0.000000, 0.0000...
time=2024-08-10T07:22:45.904Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server loading model"
llama_model_loader: - kv  19:                  tokenizer.ggml.token_type arr[i32,256000]  = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ...
llama_model_loader: - kv  20:                tokenizer.ggml.bos_token_id u32              = 2
llama_model_loader: - kv  21:                tokenizer.ggml.eos_token_id u32              = 1
llama_model_loader: - kv  22:            tokenizer.ggml.unknown_token_id u32              = 3
llama_model_loader: - kv  23:            tokenizer.ggml.padding_token_id u32              = 0
llama_model_loader: - kv  24:               tokenizer.ggml.add_bos_token bool             = true
llama_model_loader: - kv  25:               tokenizer.ggml.add_eos_token bool             = false
llama_model_loader: - kv  26:                    tokenizer.chat_template str              = {{ bos_token }}{% if messages[0]['rol...
llama_model_loader: - kv  27:            tokenizer.ggml.add_space_prefix bool             = false
llama_model_loader: - kv  28:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  169 tensors
llama_model_loader: - type q4_0:  294 tensors
llama_model_loader: - type q6_K:    1 tensors
llm_load_vocab: special tokens cache size = 108
[GIN] 2024/08/10 - 07:22:46 | 200 |      15.091µs |    192.168.1.27 | GET      "/"
llm_load_vocab: token to piece cache size = 1.6014 MB
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = gemma2
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: vocab_only       = 0
llm_load_print_meta: n_ctx_train      = 8192
llm_load_print_meta: n_embd           = 3584
llm_load_print_meta: n_layer          = 42
llm_load_print_meta: n_head           = 16
llm_load_print_meta: n_head_kv        = 8
llm_load_print_meta: n_rot            = 256
llm_load_print_meta: n_swa            = 4096
llm_load_print_meta: n_embd_head_k    = 256
llm_load_print_meta: n_embd_head_v    = 256
llm_load_print_meta: n_gqa            = 2
llm_load_print_meta: n_embd_k_gqa     = 2048
llm_load_print_meta: n_embd_v_gqa     = 2048
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: f_logit_scale    = 0.0e+00
llm_load_print_meta: n_ff             = 14336
llm_load_print_meta: n_expert         = 0
llm_load_print_meta: n_expert_used    = 0
llm_load_print_meta: causal attn      = 1
llm_load_print_meta: pooling type     = 0
llm_load_print_meta: rope type        = 2
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_ctx_orig_yarn  = 8192
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: ssm_d_conv       = 0
llm_load_print_meta: ssm_d_inner      = 0
llm_load_print_meta: ssm_d_state      = 0
llm_load_print_meta: ssm_dt_rank      = 0
llm_load_print_meta: model type       = 9B
llm_load_print_meta: model ftype      = Q4_0
llm_load_print_meta: model params     = 9.24 B
llm_load_print_meta: model size       = 5.06 GiB (4.71 BPW)
llm_load_print_meta: general.name     = gemma-2-9b-it
llm_load_print_meta: BOS token        = 2 '<bos>'
llm_load_print_meta: EOS token        = 1 '<eos>'
llm_load_print_meta: UNK token        = 3 '<unk>'
llm_load_print_meta: PAD token        = 0 '<pad>'
llm_load_print_meta: LF token         = 227 '<0x0A>'
llm_load_print_meta: EOT token        = 107 '<end_of_turn>'
llm_load_print_meta: max token length = 93
ggml_cuda_init: GGML_CUDA_FORCE_MMQ:    no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 ROCm devices:
  Device 0: AMD Radeon VII, compute capability 9.0, VMM: no
llm_load_tensors: ggml ctx size =    0.41 MiB
llm_load_tensors: offloading 42 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 43/43 layers to GPU
llm_load_tensors:      ROCm0 buffer size =  5185.21 MiB
llm_load_tensors:        CPU buffer size =   717.77 MiB
[GIN] 2024/08/10 - 07:22:51 | 200 |      14.554µs |    192.168.1.27 | GET      "/"
[GIN] 2024/08/10 - 07:22:51 | 200 |       8.792µs |    192.168.1.27 | GET      "/"
time=2024-08-10T07:22:52.377Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server not responding"
time=2024-08-10T07:22:52.816Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server loading model"
llama_new_context_with_model: n_ctx      = 8192
llama_new_context_with_model: n_batch    = 512
llama_new_context_with_model: n_ubatch   = 512
llama_new_context_with_model: flash_attn = 0
llama_new_context_with_model: freq_base  = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init:      ROCm0 KV buffer size =  2688.00 MiB
llama_new_context_with_model: KV self size  = 2688.00 MiB, K (f16): 1344.00 MiB, V (f16): 1344.00 MiB
llama_new_context_with_model:  ROCm_Host  output buffer size =     3.96 MiB
llama_new_context_with_model:      ROCm0 compute buffer size =   507.00 MiB
llama_new_context_with_model:  ROCm_Host compute buffer size =    39.01 MiB
llama_new_context_with_model: graph nodes  = 1690
llama_new_context_with_model: graph splits = 2
Memory access fault by GPU node-1 (Agent handle: 0x1c54ea70) on address 0xe000. Reason: Page not present or supervisor privilege.
time=2024-08-10T07:22:53.115Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server error"
time=2024-08-10T07:22:53.366Z level=ERROR source=sched.go:451 msg="error loading llama server" error="llama runner process has terminated: signal: aborted (core dumped)"

OS

Linux

GPU

AMD

CPU

Intel

Ollama version

0.3.4

Originally created by @WannaBeOCer on GitHub (Aug 10, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/6297 Originally assigned to: @dhiltgen on GitHub. ### What is the issue? This is deployed via Helm with a Radeon VII. I'm aware gfx906 is no longer supported and is in maintenance mode. Let me know if you suggest using a different version of ollama. I tried both 0.3.3 and 0.3.4 and both have the same issue even with smaller models like gemma2:2b. When the model gemma2:9b loads it works perfectly along with other models. values.yaml ``` ollama: image: repository: ollama/ollama tag: "rocm" pullPolicy: "Always" resources: limits: amd.com/gpu: 1 extraEnv: - name: HSA_OVERRIDE_GFX_VERSION value: "9.0.6" ``` ``` time=2024-08-10T07:22:45.652Z level=INFO source=sched.go:710 msg="new model will fit in available VRAM in single GPU, loading" model=/root/.ollama/models/blobs/sha256-ff1d1fc78170d787ee1201778e2dd65ea211654ca5fb7d69b5a2e7b123a50373 gpu=0 parallel=4 available=17152241664 required="8.8 GiB" time=2024-08-10T07:22:45.652Z level=INFO source=memory.go:309 msg="offload to rocm" layers.requested=-1 layers.model=43 layers.offload=43 layers.split="" memory.available="[16.0 GiB]" memory.required.full="8.8 GiB" memory.required.partial="8.8 GiB" memory.required.kv="2.6 GiB" memory.required.allocations="[8.8 GiB]" memory.weights.total="7.0 GiB" memory.weights.repeating="6.3 GiB" memory.weights.nonrepeating="717.8 MiB" memory.graph.full="507.0 MiB" memory.graph.partial="1.2 GiB" time=2024-08-10T07:22:45.653Z level=INFO source=server.go:392 msg="starting llama server" cmd="/tmp/ollama1813119290/runners/rocm_v60102/ollama_llama_server --model /root/.ollama/models/blobs/sha256-ff1d1fc78170d787ee1201778e2dd65ea211654ca5fb7d69b5a2e7b123a50373 --ctx-size 8192 --batch-size 512 --embedding --log-disable --n-gpu-layers 43 --parallel 4 --port 46625" time=2024-08-10T07:22:45.653Z level=INFO source=sched.go:445 msg="loaded runners" count=1 time=2024-08-10T07:22:45.653Z level=INFO source=server.go:592 msg="waiting for llama runner to start responding" time=2024-08-10T07:22:45.654Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server error" INFO [main] build info | build=1 commit="1e6f655" tid="128049608143680" timestamp=1723274565 INFO [main] system info | n_threads=8 n_threads_batch=-1 system_info="AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 0 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | " tid="128049608143680" timestamp=1723274565 total_threads=8 INFO [main] HTTP server listening | hostname="127.0.0.1" n_threads_http="7" port="46625" tid="128049608143680" timestamp=1723274565 llama_model_loader: loaded meta data with 29 key-value pairs and 464 tensors from /root/.ollama/models/blobs/sha256-ff1d1fc78170d787ee1201778e2dd65ea211654ca5fb7d69b5a2e7b123a50373 (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 = gemma2 llama_model_loader: - kv 1: general.name str = gemma-2-9b-it llama_model_loader: - kv 2: gemma2.context_length u32 = 8192 llama_model_loader: - kv 3: gemma2.embedding_length u32 = 3584 llama_model_loader: - kv 4: gemma2.block_count u32 = 42 llama_model_loader: - kv 5: gemma2.feed_forward_length u32 = 14336 llama_model_loader: - kv 6: gemma2.attention.head_count u32 = 16 llama_model_loader: - kv 7: gemma2.attention.head_count_kv u32 = 8 llama_model_loader: - kv 8: gemma2.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 9: gemma2.attention.key_length u32 = 256 llama_model_loader: - kv 10: gemma2.attention.value_length u32 = 256 llama_model_loader: - kv 11: general.file_type u32 = 2 llama_model_loader: - kv 12: gemma2.attn_logit_softcapping f32 = 50.000000 llama_model_loader: - kv 13: gemma2.final_logit_softcapping f32 = 30.000000 llama_model_loader: - kv 14: gemma2.attention.sliding_window u32 = 4096 llama_model_loader: - kv 15: tokenizer.ggml.model str = llama llama_model_loader: - kv 16: tokenizer.ggml.pre str = default llama_model_loader: - kv 17: tokenizer.ggml.tokens arr[str,256000] = ["<pad>", "<eos>", "<bos>", "<unk>", ... llama_model_loader: - kv 18: tokenizer.ggml.scores arr[f32,256000] = [0.000000, 0.000000, 0.000000, 0.0000... time=2024-08-10T07:22:45.904Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server loading model" llama_model_loader: - kv 19: tokenizer.ggml.token_type arr[i32,256000] = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ... llama_model_loader: - kv 20: tokenizer.ggml.bos_token_id u32 = 2 llama_model_loader: - kv 21: tokenizer.ggml.eos_token_id u32 = 1 llama_model_loader: - kv 22: tokenizer.ggml.unknown_token_id u32 = 3 llama_model_loader: - kv 23: tokenizer.ggml.padding_token_id u32 = 0 llama_model_loader: - kv 24: tokenizer.ggml.add_bos_token bool = true llama_model_loader: - kv 25: tokenizer.ggml.add_eos_token bool = false llama_model_loader: - kv 26: tokenizer.chat_template str = {{ bos_token }}{% if messages[0]['rol... llama_model_loader: - kv 27: tokenizer.ggml.add_space_prefix bool = false llama_model_loader: - kv 28: general.quantization_version u32 = 2 llama_model_loader: - type f32: 169 tensors llama_model_loader: - type q4_0: 294 tensors llama_model_loader: - type q6_K: 1 tensors llm_load_vocab: special tokens cache size = 108 [GIN] 2024/08/10 - 07:22:46 | 200 | 15.091µs | 192.168.1.27 | GET "/" llm_load_vocab: token to piece cache size = 1.6014 MB llm_load_print_meta: format = GGUF V3 (latest) llm_load_print_meta: arch = gemma2 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: vocab_only = 0 llm_load_print_meta: n_ctx_train = 8192 llm_load_print_meta: n_embd = 3584 llm_load_print_meta: n_layer = 42 llm_load_print_meta: n_head = 16 llm_load_print_meta: n_head_kv = 8 llm_load_print_meta: n_rot = 256 llm_load_print_meta: n_swa = 4096 llm_load_print_meta: n_embd_head_k = 256 llm_load_print_meta: n_embd_head_v = 256 llm_load_print_meta: n_gqa = 2 llm_load_print_meta: n_embd_k_gqa = 2048 llm_load_print_meta: n_embd_v_gqa = 2048 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: f_logit_scale = 0.0e+00 llm_load_print_meta: n_ff = 14336 llm_load_print_meta: n_expert = 0 llm_load_print_meta: n_expert_used = 0 llm_load_print_meta: causal attn = 1 llm_load_print_meta: pooling type = 0 llm_load_print_meta: rope type = 2 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_ctx_orig_yarn = 8192 llm_load_print_meta: rope_finetuned = unknown llm_load_print_meta: ssm_d_conv = 0 llm_load_print_meta: ssm_d_inner = 0 llm_load_print_meta: ssm_d_state = 0 llm_load_print_meta: ssm_dt_rank = 0 llm_load_print_meta: model type = 9B llm_load_print_meta: model ftype = Q4_0 llm_load_print_meta: model params = 9.24 B llm_load_print_meta: model size = 5.06 GiB (4.71 BPW) llm_load_print_meta: general.name = gemma-2-9b-it llm_load_print_meta: BOS token = 2 '<bos>' llm_load_print_meta: EOS token = 1 '<eos>' llm_load_print_meta: UNK token = 3 '<unk>' llm_load_print_meta: PAD token = 0 '<pad>' llm_load_print_meta: LF token = 227 '<0x0A>' llm_load_print_meta: EOT token = 107 '<end_of_turn>' llm_load_print_meta: max token length = 93 ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no ggml_cuda_init: found 1 ROCm devices: Device 0: AMD Radeon VII, compute capability 9.0, VMM: no llm_load_tensors: ggml ctx size = 0.41 MiB llm_load_tensors: offloading 42 repeating layers to GPU llm_load_tensors: offloading non-repeating layers to GPU llm_load_tensors: offloaded 43/43 layers to GPU llm_load_tensors: ROCm0 buffer size = 5185.21 MiB llm_load_tensors: CPU buffer size = 717.77 MiB [GIN] 2024/08/10 - 07:22:51 | 200 | 14.554µs | 192.168.1.27 | GET "/" [GIN] 2024/08/10 - 07:22:51 | 200 | 8.792µs | 192.168.1.27 | GET "/" time=2024-08-10T07:22:52.377Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server not responding" time=2024-08-10T07:22:52.816Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server loading model" llama_new_context_with_model: n_ctx = 8192 llama_new_context_with_model: n_batch = 512 llama_new_context_with_model: n_ubatch = 512 llama_new_context_with_model: flash_attn = 0 llama_new_context_with_model: freq_base = 10000.0 llama_new_context_with_model: freq_scale = 1 llama_kv_cache_init: ROCm0 KV buffer size = 2688.00 MiB llama_new_context_with_model: KV self size = 2688.00 MiB, K (f16): 1344.00 MiB, V (f16): 1344.00 MiB llama_new_context_with_model: ROCm_Host output buffer size = 3.96 MiB llama_new_context_with_model: ROCm0 compute buffer size = 507.00 MiB llama_new_context_with_model: ROCm_Host compute buffer size = 39.01 MiB llama_new_context_with_model: graph nodes = 1690 llama_new_context_with_model: graph splits = 2 Memory access fault by GPU node-1 (Agent handle: 0x1c54ea70) on address 0xe000. Reason: Page not present or supervisor privilege. time=2024-08-10T07:22:53.115Z level=INFO source=server.go:626 msg="waiting for server to become available" status="llm server error" time=2024-08-10T07:22:53.366Z level=ERROR source=sched.go:451 msg="error loading llama server" error="llama runner process has terminated: signal: aborted (core dumped)" ``` ### OS Linux ### GPU AMD ### CPU Intel ### Ollama version 0.3.4
GiteaMirror added the linuxamdbug labels 2026-04-12 14:49:31 -05:00
GiteaMirror commented 2026-04-12 14:49:32 -05:00
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@WannaBeOCer commented on GitHub (Aug 13, 2024):

This was fixed in Ollama 0.3.5 I believe since it hasn’t happened since upgrading.

<!-- gh-comment-id:2287310696 --> @WannaBeOCer commented on GitHub (Aug 13, 2024): This was fixed in Ollama 0.3.5 I believe since it hasn’t happened since upgrading.
GiteaMirror commented 2026-04-12 14:49:33 -05:00
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@dhiltgen commented on GitHub (Aug 18, 2024):

Glad to hear the update seems to have resolved it. We regularly update llama.cpp to pick up the latest bug fixes and 0.3.5 did contain an update.

<!-- gh-comment-id:2295322041 --> @dhiltgen commented on GitHub (Aug 18, 2024): Glad to hear the update seems to have resolved it. We regularly update llama.cpp to pick up the latest bug fixes and 0.3.5 did contain an update.
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