初始化项目，由ModelHub XC社区提供模型

Model: bitsydarel/road-freight-voice-assistant-350m
Source: Original Platform

.gitattributes

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+*.gguf filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text

.hfignore

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+# Local-only training and evaluation artifacts.
+.gitignore
+.DS_Store
+*.shortconv-fixed.gguf
+*.bdai-managed
+000*_adapters.safetensors
+adapters.safetensors
+adapter_config.json
+eval-q4-server/
+train.log
+training.manifest.json
+fused/layout.manifest.json
+fused/README.md
+fused/.bdai-managed

Q4_K_M.gguf

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README.md

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+---
+library_name: transformers
+pipeline_tag: text-generation
+base_model: LiquidAI/LFM2.5-350M
+license: other
+license_name: lfm1.0
+license_link: https://huggingface.co/LiquidAI/LFM2.5-350M/blob/main/LICENSE
+language:
+  - en
+tags:
+  - gguf
+  - voice-assistant
+  - tool-calling
+  - road-freight
+  - 350m
+---
+
+# Road Freight Voice Assistant 350M
+
+Fine-tuned 350M model for road-freight voice workflows in mobile apps. It is
+built for app tasks like navigation, load search, quoting, form repair,
+instruction following, and skill selection.
+
+## Intended use
+
+Use this model inside a road-freight app, with the app supplying its tool
+definitions, current screen state, and confirmation rules. It is not a
+standalone assistant, route planner, pricing authority, or live operations
+record.
+
+Give the model live app state: available vehicles, load cards, load details,
+quote state, current location, and whether the driver has confirmed an action.
+The app still validates every tool call and keeps final submission behind its
+own confirmation checks.
+
+## Quick start
+
+For the BDAIAssistant SDK, use the `.small` model family. The SDK defaults
+that family to `Q4_K_M.gguf`, the recommended mobile file.
+
+```swift
+let spec = Lfm25GgufFileSpecification(family: .small, variant: .q4km)
+let path = try await Lfm25LlamaCppLLMDownloader().downloadGgufFile(spec)
+```
+
+To download the GGUF directly:
+
+```bash
+hf download bitsydarel/road-freight-voice-assistant-350m Q4_K_M.gguf
+```
+
+## Files
+
+- `fused/`: Hugging Face-format fused model.
+- `model.gguf`: F16 GGUF exported from the fused model.
+- `Q8_0.gguf`, `Q6_K.gguf`, `Q5_K_M.gguf`, `Q5_K_S.gguf`,
+  `Q4_K_M.gguf`, `Q4_K_S.gguf`: available GGUF quantizations.
+- `quantization.manifest.json`: SHA-256 hashes and tensor-contract validation
+  results for the GGUF files.
+
+For mobile deployments, start with `Q4_K_M.gguf` if the package size works for
+your app. Use `Q4_K_S.gguf` when size matters more. Keep `Q8_0.gguf` for
+comparison checks, and use `model.gguf` if you need to re-export or quantize
+again.
+
+This release does not publish `BF16.gguf` or `Q4_0.gguf`. The BDAIAssistant
+SDK treats those variants as unavailable for the `.small` family and fails
+before trying to download them.
+
+## Validation
+
+The GGUF files listed above were regenerated from the fused model and passed
+the runtime tensor contract checks, including rank-2 shortconv tensors and
+token embedding dimensions.
+
+## License and base model
+
+This release is a fine-tune of `LiquidAI/LFM2.5-350M` and follows the upstream
+`lfm1.0` license linked in the repository metadata.

fused/chat_template.jinja

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+{{- bos_token -}}
+{%- set keep_past_thinking = keep_past_thinking | default(false) -%}
+{%- set ns = namespace(system_prompt="") -%}
+{%- if messages[0]["role"] == "system" -%}
+    {%- set sys_content = messages[0]["content"] -%}
+    {%- if sys_content is not string -%}
+        {%- for item in sys_content -%}
+            {%- if item["type"] == "text" -%}
+                {%- set ns.system_prompt = ns.system_prompt + item["text"] -%}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {%- set ns.system_prompt = sys_content -%}
+    {%- endif -%}
+    {%- set messages = messages[1:] -%}
+{%- endif -%}
+{%- if tools -%}
+    {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
+    {%- for tool in tools -%}
+        {%- if tool is not string -%}
+            {%- set tool = tool | tojson -%}
+        {%- endif -%}
+        {%- set ns.system_prompt = ns.system_prompt + tool -%}
+        {%- if not loop.last -%}
+            {%- set ns.system_prompt = ns.system_prompt + ", " -%}
+        {%- endif -%}
+    {%- endfor -%}
+    {%- set ns.system_prompt = ns.system_prompt + "]" -%}
+{%- endif -%}
+{%- if ns.system_prompt -%}
+    {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
+{%- endif -%}
+{%- set ns.last_assistant_index = -1 -%}
+{%- for message in messages -%}
+    {%- if message["role"] == "assistant" -%}
+        {%- set ns.last_assistant_index = loop.index0 -%}
+    {%- endif -%}
+{%- endfor -%}
+{%- for message in messages -%}
+    {{- "<|im_start|>" + message["role"] + "\n" -}}
+    {%- set content = message["content"] -%}
+    {%- if content is not string -%}
+        {%- set ns.content = "" -%}
+        {%- for item in content -%}
+            {%- if item["type"] == "image" -%}
+                {%- set ns.content = ns.content + "<image>" -%}
+            {%- elif item["type"] == "text" -%}
+                {%- set ns.content = ns.content + item["text"] -%}
+            {%- else -%}
+                {%- set ns.content = ns.content + item | tojson -%}
+            {%- endif -%}
+        {%- endfor -%}
+        {%- set content = ns.content -%}
+    {%- endif -%}
+    {%- if message["role"] == "assistant" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}
+        {%- if "</think>" in content -%}
+            {%- set content = content.split("</think>")[-1] | trim -%}
+        {%- endif -%}
+    {%- endif -%}
+    {{- content + "<|im_end|>\n" -}}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{- "<|im_start|>assistant\n" -}}
+{%- endif -%}

fused/config.json

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+{
+    "architectures": [
+        "Lfm2ForCausalLM"
+    ],
+    "block_auto_adjust_ff_dim": true,
+    "block_dim": 1024,
+    "block_ff_dim": 6656,
+    "block_ffn_dim_multiplier": 1.0,
+    "block_mlp_init_scale": 1.0,
+    "block_multiple_of": 256,
+    "block_norm_eps": 1e-05,
+    "block_out_init_scale": 1.0,
+    "block_use_swiglu": true,
+    "block_use_xavier_init": true,
+    "bos_token_id": 1,
+    "conv_L_cache": 3,
+    "conv_bias": false,
+    "conv_dim": 1024,
+    "conv_use_xavier_init": true,
+    "dtype": "bfloat16",
+    "eos_token_id": 7,
+    "hidden_size": 1024,
+    "initializer_range": 0.02,
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+    "layer_types": [
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "full_attention",
+        "conv",
+        "full_attention",
+        "conv",
+        "full_attention",
+        "conv"
+    ],
+    "max_position_embeddings": 128000,
+    "model_type": "lfm2",
+    "norm_eps": 1e-05,
+    "num_attention_heads": 16,
+    "num_heads": 16,
+    "num_hidden_layers": 16,
+    "num_key_value_heads": 8,
+    "pad_token_id": 0,
+    "rope_parameters": {
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+        "rope_type": "default"
+    },
+    "tie_embedding": true,
+    "transformers_version": "5.0.0rc1",
+    "use_cache": true,
+    "use_pos_enc": true,
+    "vocab_size": 65536
+}

fused/generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 7,
+  "pad_token_id": 0,
+  "transformers_version": "5.0.0rc1"
+}

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fused/tokenizer_config.json

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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
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+  "is_local": true,
+  "legacy": false,
+  "local_files_only": false,
+  "model_input_names": [
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