初始化项目，由ModelHub XC社区提供模型

Model: BillyWang1/qwen3-8b-tau-sft
Source: Original Platform

.gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,142 @@
+---
+license: apache-2.0
+base_model: Qwen/Qwen3-8B
+datasets:
+  - fuvty/tau-bench-synthetic
+language:
+  - en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - tau-bench
+  - tool-calling
+  - agent
+  - sft
+  - cold-start
+  - qwen3
+---
+
+# qwen3-8b-tau-sft
+
+Non-thinking cold-start SFT of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) for
+[tau-bench](https://github.com/sierra-research/tau-bench) retail, trained on successful
+synthetic retail trajectories from
+[fuvty/tau-bench-synthetic](https://huggingface.co/datasets/fuvty/tau-bench-synthetic).
+
+This is the **epoch-1** checkpoint, which is the one that passed the pre-RL gates and was
+used to initialize GRPO. It is a *behavior-priming* checkpoint: it teaches the model to act
+as a non-thinking, one-tool-call-per-turn tau-bench agent. It is not a finished tau-bench
+policy on its own — see [Results](#results).
+
+## What "non-thinking" means here
+
+The tokenizer/chat template is a patched Qwen3 template whose assistant branch renders
+`<|im_start|>assistant\n<think>\n\n</think>\n\n` + content verbatim, and whose generation
+prompt ends with that same empty-think prefill. Because `</think>` is therefore *prompt-side*,
+think-relapse is structurally impossible even at temperature 1.0. The patched
+`chat_template.jinja` and the embedded copy in `tokenizer_config.json` ship with this repo,
+so `apply_chat_template` reproduces the training format exactly.
+
+Tool calls are emitted as inline Hermes text in the assistant content (the patched template
+does **not** render structured `tool_calls` lists):
+
+```
+{optional user-visible text}
+<tool_call>
+{"name": "<fn>", "arguments": {<args object>}}
+</tool_call>
+```
+
+At most one call per turn. Tool results are supplied as `role: "tool"` messages, which the
+template wraps in `<tool_response>…</tool_response>` inside a user turn.
+
+## Training data
+
+795 reward-1.0 retail trajectories from `traj-GLM5` were filtered down to **595 rows over 98
+tasks**:
+
+- airline dropped entirely (it is a held-out zero-shot transfer eval)
+- **12 of 180** synthetic retail tasks dropped by a contamination gate that compares
+  write-action goal signatures against the shipped tau-bench retail task sets. All 12 were
+  retail-**train** collisions; **zero** collided with retail-**test**
+- 135 trajectories dropped for containing a turn with more than one tool call
+- reasoning traces (`reasoning_content`) stripped; the tau2 greeting turn dropped
+
+Loss falls on exactly `assistant content + <|im_end|>`. The assistant prefill header, the
+inter-turn newline and every observation block are present but masked out, so the training
+token stream is byte-identical to what an inference server is fed.
+
+## Training
+
+| | |
+|---|---|
+| base | Qwen/Qwen3-8B |
+| framework | slime 0.3.0 (Megatron), 4×H100 |
+| rows / batch | 595 / 32 |
+| steps | 54 (18 per epoch × 3); **this repo is epoch 1 = 18 steps** |
+| lr | 1e-5 cosine, min 1e-6, warmup 0.1 |
+| parallelism | TP2, seq-parallel, bf16 |
+| loss | token-level SFT on pre-tokenized rows |
+
+Final loss 0.118 at epoch 3; this epoch-1 checkpoint was selected because it already passed
+the boundary-token gate below and further epochs were not needed for priming.
+
+## Gates
+
+**Boundary-token probe** (does SFT actually train the turn-ending specials?):
+
+| bucket | n | mean p | median | frac < 0.5 |
+|---|---|---|---|---|
+| `<\|im_end\|>` | 64 | **0.9625** | 0.9983 | 1.6% |
+| `<tool_call>` / `</tool_call>` | 62 | 0.9786 | 0.9998 | 0.0% |
+| content | 7108 | 0.8867 | 0.9994 | 10.0% |
+
+**Format/geometry gate**: converted rows were replayed through the actual multi-turn rollout
+code with the row's turns scripted as sampled outputs, asserting exact-token prefix alignment
+of the generation prompt at every turn, loss-token equivalence, tool-parser round-trip, and
+eos invariants — **595/595 passed**. Longest assistant turn: 613 tokens.
+
+## Results
+
+Evaluated with **greedy** decoding on tau-bench retail-test (115 tasks) and airline (50 tasks,
+never trained on), with a `gpt-4.1-mini` user simulator.
+
+| | retail-test | airline |
+|---|---|---|
+| **this checkpoint (SFT only)** | 0.043 | 0.020 |
+| after 32 GRPO steps from this init | **0.322** | 0.060 |
+| Qwen3-8B *thinking*, zero-shot (reference) | 0.391 | 0.240 |
+
+Sampled (T=1.0, 4 samples/task) after those 32 GRPO steps, where the decoding pathology
+is absent:
+
+| | pass@1 | pass@2 | pass@4 |
+|---|---|---|---|
+| retail-test | 0.315 | 0.443 | 0.574 |
+| airline (never trained on) | 0.140 | 0.237 | 0.360 |
+
+**Read the SFT-only number carefully.** 0.043 greatly understates the policy: under sampling
+(T=1.0) the same weights score **0.637** average success on retail-train with
+**pass@16 ≈ 0.97**. The gap is a greedy-decoding pathology — 93% of greedy eval episodes
+exhaust their 30-turn budget in a repetition loop rather than terminating. Subsequent GRPO
+mostly *repaired that pathology* (greedy truncation 0.93 → 0.33, repetition 0.48 → 0.15)
+rather than adding raw capability, which is why greedy retail-test climbs 7.5× while sampled
+training reward barely moves.
+
+So: this checkpoint is a strong **sampled** tool-use policy and a weak **greedy** one. Use
+sampling, or RL from it.
+
+## Intended use and limitations
+
+Research artifact for tau-bench agent RL. Not a general assistant, not tuned for safety or
+chat. Its system prompt at training time was the synthetic dataset's own
+`<instructions>/<policy>` wrapper and its tool schemas were the dataset's tau2-style retail
+variant, which differ in three tool names from tau-bench's own retail toolset
+(`cancel_order` vs `cancel_pending_order`, `find_user_by_contact` vs `find_user_id_by_email`,
+`find_user_by_name` vs `find_user_id_by_name_zip`). In practice the model conditions on
+whatever schemas are given in context and transferred to the real tau-bench names with
+essentially no penalty (5 parse failures across 165 eval episodes).
+
+## License
+
+Apache-2.0, inherited from both Qwen3-8B and the tau-bench-synthetic dataset.

chat_template.jinja

@@ -0,0 +1,49 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n<think>\n\n</think>\n\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n<think>\n\n</think>\n\n' }}
+{%- endif %}

config.json

@@ -0,0 +1,30 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,13 @@
+{
+    "bos_token_id": 151643,
+    "do_sample": true,
+    "eos_token_id": [
+        151645,
+        151643
+    ],
+    "pad_token_id": 151643,
+    "temperature": 0.6,
+    "top_k": 20,
+    "top_p": 0.95,
+    "transformers_version": "4.51.0"
+}

model-00000-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f85c5eef36beeed4b4cc5d7bfd79dbebb1be5eae28dfc600558e2e656e39ee0
+size 5271222992

model-00001-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99ef6a506fe3beb357c749a6bc3e9a4b1a7fbf06dffef79070ce42ec3295e1dd
+size 5335160760

model-00002-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc06805bf41538fa3de359cc7ad23ab41c929d993b8730dabde468b5861d296d
+size 4530473152

model-00003-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f29fe74fe80feefe6fc77ad48c483fed33058d0d0e67153702cf3c5a38c4ff8
+size 1244659808

model.safetensors.index.json

@@ -0,0 +1,406 @@
+{
+  "metadata": {
+    "total_size": 16381470720
+  },
+  "weight_map": {
+    "model.embed_tokens.weight": "model-00000-of-00004.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.32.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.33.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.34.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.35.self_attn.o_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.32.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.32.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.32.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.33.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.33.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.33.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.34.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.34.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.34.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.35.self_attn.q_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.35.self_attn.k_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.35.self_attn.v_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.0.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.1.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.2.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.3.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.4.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.5.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.6.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.7.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.8.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.9.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.10.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.11.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.12.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.13.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.14.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.15.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.16.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.17.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.18.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.19.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.20.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.21.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.22.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.23.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.24.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.25.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.26.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.27.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.28.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.29.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.30.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.31.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.32.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.33.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.34.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.35.self_attn.q_norm.weight": "model-00000-of-00004.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00000-of-00004.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.28.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.29.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.30.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.31.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.32.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.32.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.33.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.33.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.34.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.34.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.35.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.35.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.32.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.33.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.34.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.35.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.32.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.33.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.34.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.35.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.32.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.33.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.34.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.35.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.0.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.1.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.2.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.3.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.4.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.5.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.6.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.21.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.22.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.23.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.24.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.25.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.26.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.27.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.28.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.29.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.30.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.31.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.32.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.33.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.34.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.35.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
+    "model.norm.weight": "model-00002-of-00004.safetensors",
+    "lm_head.weight": "model-00003-of-00004.safetensors"
+  }
+}

tokenizer_config.json

@@ -0,0 +1,239 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role + '\\n<think>\\n\\n</think>\\n\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n<think>\\n\\n</think>\\n\\n' }}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}