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Model: mlx-community/sarashina2.2-3b-instruct-v0.1
Source: Original Platform

.gitattributes

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README.md

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+---
+license: mit
+language:
+- ja
+pipeline_tag: text-generation
+base_model: sbintuitions/sarashina2.2-3b-instruct-v0.1
+library_name: mlx
+tags:
+- mlx
+---
+
+# mlx-community/sarashina2.2-3b-instruct-v0.1
+
+This model [mlx-community/sarashina2.2-3b-instruct-v0.1](https://huggingface.co/mlx-community/sarashina2.2-3b-instruct-v0.1) was
+converted to MLX format from [sbintuitions/sarashina2.2-3b-instruct-v0.1](https://huggingface.co/sbintuitions/sarashina2.2-3b-instruct-v0.1)
+using mlx-lm version **0.25.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/sarashina2.2-3b-instruct-v0.1")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

chat_template.jinja

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+
+{%- set user_messages = messages | selectattr('role', 'equalto', 'user') | list %}
+{%- macro output_available_tools(tools, message) %}
+{%- if tools and (message == user_messages[-1]) %}
+    {{- '<|available_tools|>[' }}
+    {%- for tool in tools %}
+        {%- set tool = tool.function %}
+        {{- "{" }}
+        {%- for key, val in tool.items() if key != "return" %}
+            {%- if val is string %}
+                {{- "'" + key + "': '" + val + "'" }}
+            {%- else %}
+                {{- "'" + key + "': " + val|string }}
+            {%- endif %}
+            {%- if not loop.last %}
+                {{- ", " }}
+            {%- endif %}
+        {%- endfor %}
+        {{- "}" }}
+        {%- if not loop.last %}
+            {{- ", " }}
+        {%- else %}
+            {{- "]" }}
+        {%- endif %}
+    {%- endfor %}
+    {{- eos_token -}}
+{%- endif %}
+{%- endmacro %}
+
+{%- macro output_tool_results(tool_results) %}
+{{- '<|tool_results|>[' }}
+{%- for tool_result in tool_results %}
+    {{- "{'content': " + tool_result.content|string + ", 'call_id': '" + tool_result.call_id + "'}" }}
+{%- endfor %}
+{{- ']' }}
+{{- eos_token -}}
+{%- endmacro %}
+
+{%- macro output_tool_calls(tool_calls) %}
+{{- '<|tool_calls|>[' }}
+{%- for tool_call in tool_calls %}
+    {{- "{'id': '" + tool_call.id + "', 'name': '" + tool_call.name + "', 'arguments': " + tool_call.arguments|string + '}' }}
+{%- endfor %}
+{{- ']' }}
+{%- endmacro %}
+
+{%- for message in messages %}
+    {%- if message['role'] == 'user' %}
+        {%- if tools is defined %}
+            {{- output_available_tools(tools, message) }}
+        {%- endif %}
+        {{- '<|user|>' + message['content'] + eos_token -}}
+    {%- elif message['role'] == 'system' %}
+        {{- '<|system|>' + message['content'] + eos_token -}}
+    {%- elif message['role'] == 'assistant' %}
+        {% set assistant_content = "" %}
+        {%- if message.content is defined %}
+            {% set assistant_content = message.content %}
+        {%- endif %}
+        {%- if message.tool_calls is defined and message.tool_calls -%}
+            {{- '<|assistant|>' + assistant_content + output_tool_calls(message['tool_calls']) + eos_token -}}
+        {%- else %}
+            {{- '<|assistant|>' + assistant_content + eos_token }}
+        {%- endif %}
+    {%- elif message['role'] == 'tool_results' %}
+        {{- output_tool_results(message.tool_results) }}
+    {%- endif %}
+{%- if loop.last and add_generation_prompt -%}
+  {{- '<|assistant|>' -}}
+{%- endif -%}
+{%- endfor %}

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 160,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 8960,
+    "max_position_embeddings": 8192,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 500000,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.46.3",
+    "use_cache": false,
+    "vocab_size": 102400
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "top_p": 0.9,
+  "do_sample": true,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7
+}

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