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Model: Abhinav-Anand/MiniMerge-0.1B
Source: Original Platform

.gitattributes

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+*.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
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+*.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
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+*.tgz filter=lfs diff=lfs merge=lfs -text
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+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: apache-2.0
+base_model:
+  - HuggingFaceTB/SmolLM-135M
+  - HuggingFaceTB/SmolLM-135M-Instruct
+tags:
+  - merge
+  - slerp
+  - smollm
+  - model-merge
+  - chimera
+language:
+  - en
+pipeline_tag: text-generation
+---
+
+# SmolLM-135M-SLERP-Merge
+
+## Overview
+A **SLERP (Spherical Linear Interpolation) merge** of SmolLM-135M (base) and
+SmolLM-135M-Instruct. This "chimera" model blends raw language modeling capabilities
+with instruction-following abilities, creating a balanced model that inherits
+strengths from both parents.
+
+## Key Features
+- **Dual heritage**: Combines base + instruct capabilities
+- **SLERP merge**: Uses spherical interpolation for better weight preservation
+- **Ultra-small**: Only ~513 MB total
+- **No training required**: Pure weight-space interpolation
+
+## Merge Details
+- **Model A (base)**: [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M)
+- **Model B (instruct)**: [HuggingFaceTB/SmolLM-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct)
+- **Method**: SLERP (Spherical Linear Interpolation)
+- **Interpolation factor**: t=0.6 (60% instruct, 40% base)
+- **Weight matrices**: SLERP interpolation
+- **Biases/norms**: Linear interpolation
+
+## Why SLERP?
+Linear interpolation (lerp) can reduce the magnitude of weight vectors, potentially
+degrading model quality. SLERP interpolates along the surface of a hypersphere,
+preserving vector magnitudes while smoothly transitioning between the two models.
+This typically produces higher quality merges.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("Ringkvist/SmolLM-135M-SLERP-Merge")
+tokenizer = AutoTokenizer.from_pretrained("Ringkvist/SmolLM-135M-SLERP-Merge")
+
+inputs = tokenizer("Explain what photosynthesis is:", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100, temperature=0.7)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Merge Recipe (for reproduction with mergekit)
+```yaml
+slices:
+  - sources:
+      - model: HuggingFaceTB/SmolLM-135M
+        layer_range: [0, 30]
+      - model: HuggingFaceTB/SmolLM-135M-Instruct
+        layer_range: [0, 30]
+merge_method: slerp
+base_model: HuggingFaceTB/SmolLM-135M
+parameters:
+  t:
+    - value: 0.6
+dtype: float16
+```
+
+## Parent Models
+| Model | Role | Description |
+|-------|------|-------------|
+| [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) | Base | Raw language modeling |
+| [HuggingFaceTB/SmolLM-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct) | Instruct | Instruction following |

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dtype": "float32",
+  "eos_token_id": 0,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 576,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 9,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 3,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.57.6"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c6381933666b8f1d657aa497b948f659fa28f4acfadb5c5e00c14d9bed9e256d
+size 538090408

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}