[pull] master from ggml-org:master

.github/workflows/code-style.yml

@@ -0,0 +1,51 @@
+name: Code Style Checker
+
+on:
+  workflow_dispatch: # allows manual triggering
+  push:
+    branches:
+      - master
+  pull_request:
+    branches:
+      - master
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  model-naming:
+    runs-on: ubuntu-slim
+    steps:
+      - uses: actions/checkout@v6
+      - name: Check model naming conventions
+        run: |
+          python3 - << 'EOF'
+          import re, os, sys
+
+          pairs = re.findall(
+              r'case\s+(LLM_ARCH_\w+)\s*:\s*\n\s+return new (llama_model_\w+)\s*\(',
+              open("src/llama-model.cpp").read())
+
+          errors = []
+          for arch, cls in pairs:
+              suffix  = arch[len("LLM_ARCH_"):]
+              csuffix = cls[len("llama_model_"):]
+              fname   = csuffix.replace("_", "-") + ".cpp"
+
+              if not re.fullmatch(r'[A-Z][A-Z0-9_]*',   suffix):
+                  errors.append(f"{arch}: suffix not upper snake case, example: LLM_ARCH_MY_MODEL")
+
+              if not re.fullmatch(r'[a-z][a-z0-9_]*', csuffix):
+                  errors.append(f"{arch}: class suffix not lower snake case, example: llama_model_my_model")
+
+              elif suffix.lower() != csuffix:
+                  errors.append(f"{arch}: arch/class name mismatch, expected class 'llama_model_{suffix.lower()}' but got '{cls}'")
+
+              elif not os.path.isfile(f"src/models/{fname}"):
+                  errors.append(f"{arch}: expects model file name to be src/models/{fname}, but not found")
+
+          if errors:
+              print('\n'.join(f"  - {e}" for e in errors)); sys.exit(1)
+          print(f"OK: {len(pairs)} mappings validated.")
+          EOF

.github/workflows/editorconfig.yml

@@ -2,11 +2,6 @@ name: EditorConfig Checker
 
 on:
   workflow_dispatch: # allows manual triggering
-    inputs:
-      create_release:
-        description: 'Create new release'
-        required: true
-        type: boolean
   push:
     branches:
       - master

common/arg.cpp

@@ -357,8 +357,7 @@ static handle_model_result common_params_handle_model(struct common_params_model
         auto download_result = common_download_model(model, opts, true);
 
         if (download_result.model_path.empty()) {
-            LOG_ERR("error: failed to download model from Hugging Face\n");
-            exit(1);
+            throw std::runtime_error("failed to download model from Hugging Face");
         }
 
         model.name = model.hf_repo;
@@ -380,8 +379,7 @@ static handle_model_result common_params_handle_model(struct common_params_model
         opts.offline = offline;
         auto download_result = common_download_model(model, opts);
         if (download_result.model_path.empty()) {
-            LOG_ERR("error: failed to download model from %s\n", model.url.c_str());
-            exit(1);
+            throw std::runtime_error("failed to download model from " + model.url);
         }
     }
 

docs/backend/OPENVINO.md

@@ -57,17 +57,22 @@ Although OpenVINO supports a wide range of [Intel hardware](https://docs.openvin
 
 ## Validated Models
 
-The following models have been validated for functionality on Intel® Core™ Ultra Series 1 and Series 2:
-
-- [Llama-3.2-1B-Instruct-GGUF](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/)
-- [Llama-3.1-8B-Instruct](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF)
-- [microsoft/Phi-3-mini-4k-instruct-gguf](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf)
-- [Qwen/Qwen2.5-1.5B-Instruct-GGUF](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF)
-- [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B-GGUF)
-- [openbmb/MiniCPM-1B-sft-bf16](https://huggingface.co/openbmb/MiniCPM-S-1B-sft-gguf)
-- [tencent/Hunyuan-7B-Instruct](https://huggingface.co/bartowski/tencent_Hunyuan-7B-Instruct-GGUF)
-- [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.3-GGUF)
-- [bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF](https://huggingface.co/bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF)
+The following models were validated on Intel® Core™ Ultra Series 2. While our testing was limited, the OpenVINO backend is expected to work across a broad range of [Intel hardware](https://docs.openvino.ai/2026/about-openvino/release-notes-openvino/system-requirements.html).
+- Use `GGML_OPENVINO_STATEFUL_EXECUTION=1` when using GPU device.
+- `-fa 1` is required when running llama-bench with the OpenVINO backend.
+- Additional model support, quantization formats and validations are work in progress.
+
+| Model  | Validated   | Known Issues  |
+| :------| :---------- | :-------------|
+| [Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/) | `FP16`, `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M` on CPU/GPU/NPU | — |
+| [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF) | `Q8_0`, `Q4_K_M` on CPU/GPU/NPU | `Q4_0_8_8`, `Q4_0_4_8`, `Q4_0_4_4` fail |
+| [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf) | `FP16`, `Q4` on CPU/NPU | GPU unsupported for `FP16` and `Q4` (`llama-cli`, `llama-bench`) |
+| [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF) | `FP16`, `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M` on CPU/GPU/NPU | — |
+| [Qwen3-8B-Instruct](https://huggingface.co/Qwen/Qwen3-8B-GGUF) | `FP16`, `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M` on CPU/NPU; GPU works via `llama-bench` | GPU `llama-cli` unsupported for all quantizations |
+| [MiniCPM-V-2_6-GGUF](https://huggingface.co/openbmb/MiniCPM-V-2_6-gguf) | `Q4_0` on CPU/GPU/NPU | — |
+| [DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF) | `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M` on CPU/GPU/NPU | — |
+| [Hunyuan-7B-Instruct](https://huggingface.co/bartowski/tencent_Hunyuan-7B-Instruct-GGUF) | CPU: `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M`; GPU: `Q8_0`, `Q4_0`, `Q4_1`; NPU (`llama-bench` only): `Q4_0`, `Q4_1`, `Q4_K_M` | GPU `Q4_K_M` unsupported; NPU `llama-cli` unsupported |
+| [Mistral-7B-Instruct-v0.3](https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.3-GGUF/) | CPU/GPU: `Q8_0`, `Q4_K_M`; NPU: `Q8_0`, `Q4_K_M` (via `llama-bench`) | NPU `llama-cli` unsupported for `Q8_0`, `Q4_K_M` |
 
 ## Build Instructions
 

ggml/src/ggml-hexagon/ggml-hexagon.cpp

@@ -2865,6 +2865,7 @@ static htp_op_code op_remap_to_htp(const ggml_tensor * t) {
                 case GGML_UNARY_OP_NEG:      return HTP_OP_UNARY_NEG;
                 case GGML_UNARY_OP_EXP:      return HTP_OP_UNARY_EXP;
                 case GGML_UNARY_OP_SOFTPLUS: return HTP_OP_UNARY_SOFTPLUS;
+                case GGML_UNARY_OP_TANH:     return HTP_OP_UNARY_TANH;
             default:
                 break;
             }
@@ -3335,6 +3336,7 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
                 case GGML_UNARY_OP_EXP:
                 case GGML_UNARY_OP_SIGMOID:
                 case GGML_UNARY_OP_SOFTPLUS:
+                case GGML_UNARY_OP_TANH:
                     supp = ggml_hexagon_supported_unary(sess, op);
                     break;
                 case GGML_UNARY_OP_SILU:

ggml/src/ggml-hexagon/htp/htp-ops.h

@@ -62,6 +62,7 @@ enum htp_op_code {
     HTP_OP_UNARY_EXP,
     HTP_OP_UNARY_NEG,
     HTP_OP_UNARY_SOFTPLUS,
+    HTP_OP_UNARY_TANH,
     HTP_OP_GLU_SWIGLU,
     HTP_OP_GLU_SWIGLU_OAI,
     HTP_OP_GLU_GEGLU,

ggml/src/ggml-hexagon/htp/main.c

@@ -542,6 +542,7 @@ static int execute_op(struct htp_ops_context * octx) {
         case HTP_OP_UNARY_SIGMOID:
         case HTP_OP_UNARY_NEG:
         case HTP_OP_UNARY_EXP:
+        case HTP_OP_UNARY_TANH:
         case HTP_OP_L2_NORM:
             return op_unary(octx);
 

ggml/src/ggml-hexagon/htp/unary-ops.c

@@ -373,6 +373,21 @@ static void l2_norm_f32(const float * restrict src,
     }
 }
 
+static void tanh_f32(const float * restrict src,
+                     float * restrict dst,
+                     uint8_t * restrict spad,
+                     const uint32_t num_rows,
+                     const uint32_t row_elems,
+                     const size_t   row_size,
+                     int32_t *      op_params) {
+    for (uint32_t ir = 0; ir < num_rows; ir++) {
+        const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size);
+        uint8_t * restrict dst_local       = (uint8_t *)dst + (ir * row_size);
+
+        hvx_tanh_f32_aa(dst_local, src_local, row_elems);
+    }
+}
+
 static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     const struct htp_unary_context * uctx = (const struct htp_unary_context *) data;
     struct htp_ops_context * octx = uctx->octx;
@@ -477,6 +492,9 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void *
             case HTP_OP_UNARY_SOFTPLUS:
                 softplus_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params);
                 break;
+            case HTP_OP_UNARY_TANH:
+                tanh_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params);
+                break;
             case HTP_OP_L2_NORM:
                 l2_norm_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params);
                 break;
@@ -547,10 +565,12 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) {
         case HTP_OP_UNARY_SOFTPLUS:
             op_type = "softplus-f32";
             break;
+        case HTP_OP_UNARY_TANH:
+            op_type = "tanh-f32";
+            break;
         case HTP_OP_L2_NORM:
             op_type = "l2norm-f32";
             break;
-
         default:
             FARF(ERROR, "Unsupported unary Op %u\n", octx->op);
             return HTP_STATUS_NO_SUPPORT;