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Model: theprint/Llama3.2-3B-Explained-GGUF Source: Original Platform
2026-05-26 11:36:19 +08:00
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+*.7z filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+model-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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--- a/README.md
+++ b/README.md
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+---
+base_model:
+- theprint/Llama3.2-3B-Explained
+tags:
+- fine-tuned
+- lora
+- sft
+- auto-sft
+language:
+- en
+library_name: transformers
+---
+
+# Llama3.2-3B-Explained (GGUF)
+
+A fine-tuned version of [`meta-llama/Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) trained on **Explained 0.41k alpaca** data using [Auto-SFT](https://github.com/your-org/auto-sft) — an automated hyperparameter search and supervised fine-tuning pipeline.
+
+The base model was adapted to follow the style and content of the `Explained 0.41k alpaca` dataset. Expect improved performance on tasks similar to those represented in the training data.
+
+## Model Details
+
+| Property | Value |
+|---|---|
+| Base model | `meta-llama/Llama-3.2-3B-Instruct` |
+| Training data | `data/Explained-0.41k-alpaca.json` |
+| Fine-tuning epochs | 2 |
+| Fine-tuning date | 2026-03-25 |
+| Fine-tuning method | LoRA (merged to full 16-bit) |
+
+## Training Hyperparameters
+
+### LoRA
+
+| Parameter | Value |
+|---|---|
+| `r` | `4` |
+| `alpha` | `8` |
+| `dropout` | `0.0` |
+| `target_modules` | `['q_proj', 'v_proj', 'k_proj', 'o_proj']` |
+
+### Training
+
+| Parameter | Value |
+|---|---|
+| `learning_rate` | `1e-05` |
+| `batch_size` | `1` |
+| `gradient_accumulation_steps` | `2` |
+| `warmup_ratio` | `0.0` |
+| `max_seq_length` | `512` |
+
+## GGUF Files
+
+These quantized GGUF files can be used directly with [llama.cpp](https://github.com/ggerganov/llama.cpp), [Ollama](https://ollama.com/), [LM Studio](https://lmstudio.ai/), and other compatible runtimes.
+
+| File | Description |
+|---|---|
+| `Llama3.2-3B-Explained-BF16.gguf` | BF16 |
+| `Llama3.2-3B-Explained-Q8_0.gguf` | 8-bit — near-lossless, larger file |
+| `Llama3.2-3B-Explained-Q6_K.gguf` | 6-bit — high quality |
+| `Llama3.2-3B-Explained-Q5_K_M.gguf` | 5-bit medium — good quality/size balance |
+| `Llama3.2-3B-Explained-Q5_K_S.gguf` | Q5_K_S |
+| `Llama3.2-3B-Explained-Q4_K_M.gguf` | 4-bit medium — recommended for most use cases |
+| `Llama3.2-3B-Explained-Q4_K_S.gguf` | Q4_K_S |
+| `Llama3.2-3B-Explained-Q3_K_L.gguf` | Q3_K_L |
+| `Llama3.2-3B-Explained-Q3_K_M.gguf` | Q3_K_M |
+| `Llama3.2-3B-Explained-Q3_K_S.gguf` | Q3_K_S |
+| `Llama3.2-3B-Explained-Q2_K.gguf` | 2-bit — smallest size, lowest quality |
+| `Llama3.2-3B-Explained-IQ4_NL.gguf` | IQ4_NL |
+
+---
+*Generated by [Auto-SFT](https://github.com/your-org/auto-sft)*
--- a/chat_template.jinja
+++ b/chat_template.jinja
@@ -0,0 +1,93 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- if strftime_now is defined %}
+        {%- set date_string = strftime_now("%d %b %Y") %}
+    {%- else %}
+        {%- set date_string = "26 Jul 2024" %}
+    {%- endif %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+        {{- '{"name": "' + tool_call.name + '", ' }}
+        {{- '"parameters": ' }}
+        {{- tool_call.arguments | tojson }}
+        {{- "}" }}
+        {{- "<|eot_id|>" }}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}
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--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,14 @@
+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "is_local": false,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "pad_token": "<|eot_id|>",
+  "tokenizer_class": "TokenizersBackend"
+}