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Model: SL-AI/GRaPE-Nano
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+datasets:
+- SL-AI/GRaPE-Base-Mix
+base_model:
+- LiquidAI/LFM2-700M
+---
+
+![GRaPE_Logo](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/XjHkzctrE41e1qqJYeDzN.png)
+
+_The **G**eneral **R**easoning **A**gent (for) **P**roject **E**xploration_
+
+# The GRaPE Family
+| Attribute | Size | Modalities | Domain |
+| :--- | :--- | :--- | :--- |
+| **GRaPE Flash** | 7B A1B | Text in, Text out | High-Speed Applications |
+| **GRaPE Mini** | 3B | Text + Image + Video in, Text out | On-Device Deployment |
+| **GRaPE Nano** | 700M | Text in, Text out | Extreme Edge Deployment |
+
+***
+
+# Capabilities
+
+The GRaPE Family was trained on about **14 billion** tokens of data after pre-training. About half was code related tasks, with the rest being heavy on STEAM. Ensuring the model has a sound logical basis.
+> *GRaPE Nano does not have thinking capabilities, primarily in favor of instant responses.*
+***
+
+GRaPE Flash and Nano are monomodal models, only accepting text. GRaPE Mini being trained most recently supports image and video inputs.
+
+# How to Run
+
+I recommend using **LM Studio** for running GRaPE Models, and have generally found these sampling parameters to work best:
+
+| Name | Value |
+| :--- | :--- | 
+| **Temperature** | 0.6 |
+| **Top K Sampling** | 40 |
+| **Repeat Penalty** | 1 |
+| **Top P Sampling** | 0.85 |
+| **Min P Sampling** | 0.05 |
+
+# GRaPE Nano as a Model
+
+Recently there has been a push for smaller and smaller models. GRaPE Nano explores this by performing **full finetuning** on a 700M model, adapting it to the GRaPE style of outputs. Like GRaPE Flash, GRaPE Nano **does not** have thinking capabilities. Edge devices are often slow, and it would be worse to make it even slower.
+
+# Architecture
+
+* GRaPE Flash: Built on the `OlMoE` Architecture, allowing for incredibly fast speeds where it matters. Allows for retaining factual information, but lacks in logical tasks.
+
+* GRaPE Mini: Built on the `Qwen3 VL` Architecture, allowing for edge case deployments, where logic cannot be sacrificed.
+
+* GRaPE Nano: Built on the `LFM 2` Architecture, allowing for the fastest speed, and the most knowledge in the tiniest package.
+
+***
+
+# Notes
+
+The GRaPE Family started all the way back in August of 2025, meaning these models are severely out of date on architecture, and training data.
+
+GRaPE 2 will come sooner than the GRaPE 1 family had, and will show multiple improvements.
+
+There are no benchmarks for GRaPE 1 Models due to the costly nature of running them, as well as prioritization of newer models.
+
+Updates for GRaPE 2 models will be posted here on Huggingface, as well as [Skinnertopia](https://www.skinnertopia.com/)

chat_template.jinja

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+{{- bos_token -}}
+{%- set system_prompt = "" -%}
+{%- set ns = namespace(system_prompt="") -%}
+{%- if messages[0]["role"] == "system" -%}
+	{%- set ns.system_prompt = messages[0]["content"] -%}
+	{%- set messages = messages[1:] -%}
+{%- endif -%}
+{%- if tools -%}
+	{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%}
+	{%- 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 + "]<|tool_list_end|>" -%}
+{%- endif -%}
+{%- if ns.system_prompt -%}
+	{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
+{%- endif -%}
+{%- for message in messages -%}
+	{{- "<|im_start|>" + message["role"] + "\n" -}}
+	{%- set content = message["content"] -%}
+	{%- if content is not string -%}
+		{%- set content = content | tojson -%}
+	{%- endif -%}
+	{%- if message["role"] == "tool" -%}
+		{%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%}
+	{%- endif -%}
+	{{- content + "<|im_end|>\n" -}}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+	{{- "<|im_start|>assistant\n" -}}
+{%- endif -%}

config.json

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+{
+  "architectures": [
+    "Lfm2ForCausalLM"
+  ],
+  "block_auto_adjust_ff_dim": true,
+  "block_dim": 1536,
+  "block_ff_dim": 10240,
+  "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": 1536,
+  "conv_dim_out": 1536,
+  "conv_use_xavier_init": true,
+  "dtype": "bfloat16",
+  "eos_token_id": 7,
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "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": 24,
+  "num_heads": 24,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "rope_theta": 1000000.0,
+  "transformers_version": "4.57.3",
+  "unsloth_version": "2025.12.7",
+  "use_cache": true,
+  "use_pos_enc": true,
+  "vocab_size": 65536
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": [
+    7
+  ],
+  "max_length": 128000,
+  "pad_token_id": 0,
+  "transformers_version": "4.57.3"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9fcea5ee20b098b984f326898fb37c2b14d203ed0ce97c6a4244259b63174784
+size 1484995328

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}