commit dbc7add09bec6e22f251bd2addf691a9549231ab
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Sun Jul 5 20:56:17 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth
    Source: Original Platform

diff --git a/.gitattributes b/.gitattributes
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diff --git a/README.md b/README.md
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+++ b/README.md
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+---
+license: mit
+language:
+  - en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - unsloth
+  - qwen3
+  - sft
+  - fine-tuned
+  - trl
+  - lora
+  - qlora
+  - text-generation
+  - function-calling
+  - conversational
+base_model: microsoft/FastContext-1.0-4B-RL
+datasets:
+  - Salesforce/xlam-function-calling-60k
+model-index:
+  - name: FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth
+    results: []
+---
+
+# FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth
+
+This model is a fine-tuned version of [FastContext-1.0-4B-RL](https://huggingface.co/microsoft/FastContext-1.0-4B-RL) optimized for **function calling** using [Unsloth](https://github.com/unslothai/unsloth) for **2x faster training** and **60% less VRAM**.
+
+Trained on the [Salesforce/xlam-function-calling-60k](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k) dataset, which contains 60,000 function calling examples with queries, tool definitions, and structured answers.
+
+## Overview
+
+| Property | Value |
+|----------|-------|
+| **Developed by** | [ermiaazarkhalili](https://huggingface.co/ermiaazarkhalili) |
+| **License** | MIT |
+| **Language** | English |
+| **Base Model** | [FastContext-1.0-4B-RL](https://huggingface.co/microsoft/FastContext-1.0-4B-RL) |
+| **Model Size** | 4B parameters |
+| **Training Framework** | [Unsloth](https://github.com/unslothai/unsloth) + [TRL](https://github.com/huggingface/trl) |
+| **Training Method** | SFT with QLoRA (4-bit) |
+| **Context Length** | 2,048 tokens |
+| **GGUF Available** | [FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth-GGUF](https://huggingface.co/ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth-GGUF) |
+
+## Training Configuration
+
+### SFT + LoRA Settings
+
+| Parameter | Value |
+|-----------|-------|
+| Unsloth Class | `FastLanguageModel` |
+| Chat Template | built-in FastContext (Qwen3) |
+| Learning Rate | 2e-4 |
+| Batch Size | 2 per device |
+| Gradient Accumulation | 4 steps |
+| Effective Batch Size | 8 |
+| Max Steps | 1 epoch (full dataset) |
+| Optimizer | AdamW 8-bit |
+| LR Scheduler | Linear |
+| Warmup Steps | 5 |
+| Precision | Auto (BF16/FP16) |
+| Gradient Checkpointing | Enabled (Unsloth optimized) |
+| Seed | 3407 |
+
+### LoRA Configuration
+
+| Parameter | Value |
+|-----------|-------|
+| LoRA Rank (r) | 16 |
+| LoRA Alpha | 16 |
+| LoRA Dropout | 0 |
+| Quantization | 4-bit QLoRA |
+| Target Modules | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
+
+### Dataset
+
+| Property | Value |
+|----------|-------|
+| Dataset | [xLAM Function Calling 60K](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k) |
+| Training Samples | 60,000 |
+| Format | XML-tagged: `<query>`, `<tools>`, `<answers>` |
+
+### Hardware
+
+| Property | Value |
+|----------|-------|
+| GPU | NVIDIA H100 80GB HBM3 (MIG 3g.40gb slice) |
+| Cluster | DRAC Fir (Compute Canada) |
+| Execution | [Papermill](https://github.com/nteract/papermill) on SLURM |
+
+### Training Outcome
+
+| Metric | Value |
+|--------|-------|
+| SLURM Job ID | `45169150` |
+| Runtime | 2h 09m 11s (7751s) |
+| Final Training Loss | 0.2303 |
+| Peak VRAM | 14.52 GB |
+| GPU | H100 80GB HBM3 (MIG 3g.40gb) |
+
+## Usage
+
+### Quick Start (Transformers)
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+messages = [
+    {"role": "user", "content": "Check if the numbers 8 and 1233 are powers of two."}
+]
+
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+
+outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7, do_sample=True)
+response = tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True)
+print(response)
+```
+
+### Using with Unsloth (Fastest)
+
+```python
+from unsloth import FastLanguageModel
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    "ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth",
+    max_seq_length=2048,
+    load_in_4bit=True,
+)
+
+```
+
+### 4-bit Quantized Inference
+
+```python
+from transformers import AutoModelForCausalLM, BitsAndBytesConfig
+import torch
+
+quantization_config = BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_compute_dtype=torch.bfloat16,
+    bnb_4bit_use_double_quant=True,
+    bnb_4bit_quant_type="nf4",
+)
+
+model = AutoModelForCausalLM.from_pretrained(
+    "ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth",
+    quantization_config=quantization_config,
+    device_map="auto",
+)
+```
+
+## GGUF Versions
+
+Quantized GGUF versions for CPU and edge inference are available at:
+**[FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth-GGUF](https://huggingface.co/ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth-GGUF)**
+
+| Format | Description |
+|--------|-------------|
+| `Q4_K_M` | Recommended — good balance of quality and size |
+| `Q5_K_M` | Higher quality, slightly larger |
+| `Q8_0` | Near-lossless, largest GGUF size |
+
+### Using with Ollama
+
+```bash
+ollama pull hf.co/ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth-GGUF:Q4_K_M
+ollama run hf.co/ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth-GGUF:Q4_K_M "Check if the numbers 8 and 1233 are powers of two."
+```
+
+### Using with llama.cpp
+
+```bash
+./llama-cli -m FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth-Q4_K_M.gguf -p "Check if the numbers 8 and 1233 are powers of two." -n 512
+```
+
+## Limitations
+
+- **Language**: Primarily trained on English data
+- **Knowledge Cutoff**: Limited to base model's training data cutoff
+- **Hallucinations**: May generate plausible-sounding but incorrect information
+- **Context Length**: Fine-tuned with 2,048 token context window
+- **Safety**: Not extensively safety-tuned; use with appropriate guardrails
+
+## Training Framework Versions
+
+| Package | Version |
+|---------|---------|
+| Unsloth | 2026.4.4 |
+| TRL | 0.24.0 |
+| Transformers | 5.5.0 |
+| PyTorch | 2.9.0 |
+| Datasets | 4.3.0 |
+| PEFT | 0.18.1 |
+| BitsAndBytes | 0.49.2 |
+
+## Citation
+
+```bibtex
+@misc{ermiaazarkhalili_fastcontext_4b_rl_base_function_calling_xlam_unsloth,
+    author = {ermiaazarkhalili},
+    title = {FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth: Fine-tuned FastContext-1.0-4B-RL with Unsloth},
+    year = {2026},
+    publisher = {Hugging Face},
+    howpublished = {\url{https://huggingface.co/ermiaazarkhalili/FastContext-4B-RL_base-Function-Calling-xLAM-Unsloth}}
+}
+```
+
+## Acknowledgments
+
+- [Unsloth](https://github.com/unslothai/unsloth) for 2x faster fine-tuning
+- Base model developers (microsoft)
+- [Hugging Face TRL Team](https://github.com/huggingface/trl) for the training library
+- [Salesforce xLAM](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k) for the function calling dataset
+- [Compute Canada / DRAC](https://alliancecan.ca/) for HPC resources
diff --git a/chat_template.jinja b/chat_template.jinja
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index 0000000..70adff8
--- /dev/null
+++ b/chat_template.jinja
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+{%- 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 %}
+{%- 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' + content }}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|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' }}
+{%- endif %}
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..94cfb8c
--- /dev/null
+++ b/config.json
@@ -0,0 +1,71 @@
+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": null,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 9728,
+    "layer_types": [
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 262144,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151643,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 5000000,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_version": "2026.4.6",
+    "use_cache": false,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}
\ No newline at end of file
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diff --git a/tokenizer.json b/tokenizer.json
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index 0000000..10c92fa
--- /dev/null
+++ b/tokenizer.json
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+version https://git-lfs.github.com/spec/v1
+oid sha256:476870a1f2fb6f6a2759a6ede2383bf9d5d738f17844563b65c91965b722ae09
+size 11422924
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..cb9c222
--- /dev/null
+++ b/tokenizer_config.json
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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
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+  "eos_token": "<|im_end|>",
+  "errors": "replace",
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+  "is_local": false,
+  "model_max_length": 262144,
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+  "padding_side": "left",
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+}
\ No newline at end of file