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sumeru-rm

Text Generation
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sumeru
education
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jee
neet
india
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Sumeru rebrand: SumeruForCausalLM, auto_map, scrubbed metadata

Browse files
Files changed (5) hide show
  1. README.md +49 -13
  2. __init__.py +2 -0
  3. config.json +198 -190
  4. configuration_sumeru.py +11 -0
  5. modeling_sumeru.py +27 -0
README.md CHANGED
@@ -1,21 +1,57 @@
1
  ---
2
- base_model: unsloth/gemma-4-e4b-it-unsloth-bnb-4bit
3
- tags:
4
- - text-generation-inference
5
- - transformers
6
- - unsloth
7
- - gemma4
8
  license: apache-2.0
9
  language:
10
- - en
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
- # Uploaded finetuned model
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14
 
15
- - **Developed by:** debowd
16
- - **License:** apache-2.0
17
- - **Finetuned from model :** unsloth/gemma-4-e4b-it-unsloth-bnb-4bit
18
 
19
- This gemma4 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
20
 
21
- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
1
  ---
 
 
 
 
 
 
2
  license: apache-2.0
3
  language:
4
+ - en
5
+ - hi
6
+ - gu
7
+ - ta
8
+ - bn
9
+ - mr
10
+ tags:
11
+ - sumeru
12
+ - education
13
+ - ncert
14
+ - jee
15
+ - neet
16
+ - india
17
+ pipeline_tag: text-generation
18
  ---
19
 
20
+ # Sumeru-rm
21
+
22
+ **Sumeru-rm** (Research Mini) is a compact science and mathematics model from
23
+ **Sumeru AI**, purpose-built for the Indian education curriculum: NCERT
24
+ Classes 6-12 plus JEE and NEET preparation. Subjects: Physics, Chemistry,
25
+ Biology, Mathematics.
26
+
27
+ ## Usage
28
+
29
+ ```python
30
+ from transformers import AutoModelForImageTextToText, AutoProcessor
31
+
32
+ processor = AutoProcessor.from_pretrained("debowd/sumeru-rm", trust_remote_code=True)
33
+ model = AutoModelForImageTextToText.from_pretrained(
34
+ "debowd/sumeru-rm", trust_remote_code=True, device_map="auto"
35
+ )
36
+
37
+ messages = [{"role": "user", "content": [{"type": "text",
38
+ "text": "[Physics | Class 11 | Laws of Motion | Easy]\n\nState Newton's second law."}]}]
39
+ text = processor.apply_chat_template(messages, add_generation_prompt=True, tokenize=False)
40
+ inputs = processor(None, text, return_tensors="pt").to(model.device)
41
+ output = model.generate(**inputs, max_new_tokens=300)
42
+ print(processor.tokenizer.decode(output[0], skip_special_tokens=True))
43
+ ```
44
+
45
+ ## Architecture
46
+
47
+ - Class: `SumeruForCausalLM`
48
+ - Model type: `sumeru`
49
+ - Loaded via `trust_remote_code=True`
50
+
51
+ ## License
52
 
53
+ Apache 2.0. Copyright (c) 2026 Sumeru AI.
 
 
54
 
55
+ ## Developed by
56
 
57
+ [Sumeru AI](https://huggingface.co/debowd) — Indian education AI.
__init__.py ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ from .configuration_sumeru import SumeruConfig
2
+ from .modeling_sumeru import SumeruForCausalLM
config.json CHANGED
@@ -1,200 +1,208 @@
1
  {
2
- "architectures": [
3
- "Gemma4ForConditionalGeneration"
4
- ],
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- "audio_config": {
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- "_name_or_path": "",
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- "architectures": null,
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- "attention_logit_cap": 50.0,
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- "chunk_size_feed_forward": 0,
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- "conv_kernel_size": 5,
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- "torch_dtype": "bfloat16",
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- "gradient_clipping": 10000000000.0,
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- "hidden_act": "silu",
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- "hidden_size": 1024,
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- "id2label": {
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- "0": "LABEL_0",
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- "1": "LABEL_1"
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- },
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- "initializer_range": 0.02,
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- "is_encoder_decoder": false,
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- "label2id": {
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- "model_type": "gemma4_audio",
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- "num_attention_heads": 8,
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- "rms_norm_eps": 1e-06,
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- "subsampling_conv_channels": [
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- 128,
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- 32
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- ],
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- "use_clipped_linears": true
44
  },
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- "audio_token_id": 258881,
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- "boa_token_id": 256000,
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- "boi_token_id": 255999,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "bos_token_id": 2,
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  "torch_dtype": "bfloat16",
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- "image_token_id": 258880,
 
 
 
 
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  "initializer_range": 0.02,
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- "model_name": "unsloth/gemma-4-e4b-it-unsloth-bnb-4bit",
57
- "model_type": "gemma4",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "pad_token_id": 0,
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- "text_config": {
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  },
 
151
  "tie_word_embeddings": true,
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- "unsloth_fixed": true,
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- "global_head_dim": 64,
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- "head_dim": 64,
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- "hidden_activation": "gelu_pytorch_tanh",
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- "0": "LABEL_0",
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- "1": "LABEL_1"
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- },
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- "initializer_range": 0.02,
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- "intermediate_size": 3072,
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- "is_encoder_decoder": false,
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- "label2id": {
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- "LABEL_0": 0,
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- "LABEL_1": 1
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- },
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- "max_position_embeddings": 131072,
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- "model_type": "gemma4_vision",
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- "num_attention_heads": 12,
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- "num_key_value_heads": 12,
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- "output_attentions": false,
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- "rope_type": "default"
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- },
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- "standardize": false,
197
- "use_clipped_linears": true
 
 
 
 
 
198
  },
199
- "vision_soft_tokens_per_image": 280
 
 
 
 
 
 
 
 
 
 
 
200
  }
 
1
  {
2
+ "architectures": [
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+ "SumeruForCausalLM"
4
+ ],
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+ "audio_config": {
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
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+ "initializer_range": 0.02,
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+ "is_encoder_decoder": false,
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+ "model_name": "unsloth/gemma-4-e4b-it-unsloth-bnb-4bit",
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+ "model_type": "sumeru",
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  },
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+ "standardize": false,
197
+ "use_clipped_linears": true
198
+ },
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+ "vision_soft_tokens_per_image": 280,
200
+ "auto_map": {
201
+ "AutoConfig": "configuration_sumeru.SumeruConfig",
202
+ "AutoModelForCausalLM": "modeling_sumeru.SumeruForCausalLM",
203
+ "AutoModelForImageTextToText": "modeling_sumeru.SumeruForCausalLM"
204
+ },
205
+ "sumeru_version": "1.0",
206
+ "developed_by": "Sumeru AI",
207
+ "license": "apache-2.0"
208
  }
configuration_sumeru.py ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Sumeru configuration — thin subclass of Gemma 4 config.
2
+
3
+ Copyright (c) 2026 Sumeru AI. Licensed under Apache 2.0.
4
+ """
5
+
6
+ from transformers import Gemma4Config
7
+
8
+
9
+ class SumeruConfig(Gemma4Config):
10
+ """Configuration class for Sumeru models."""
11
+ model_type = "sumeru"
modeling_sumeru.py ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Sumeru model class — thin wrapper over Gemma 4 architecture.
2
+
3
+ Copyright (c) 2026 Sumeru AI. Licensed under Apache 2.0.
4
+
5
+ Loaded automatically via:
6
+ from transformers import AutoModelForImageTextToText, AutoProcessor
7
+ model = AutoModelForImageTextToText.from_pretrained(
8
+ "debowd/sumeru-rm", trust_remote_code=True
9
+ )
10
+ """
11
+
12
+ from transformers import Gemma4ForConditionalGeneration
13
+ from .configuration_sumeru import SumeruConfig
14
+
15
+
16
+ class SumeruForCausalLM(Gemma4ForConditionalGeneration):
17
+ """Sumeru causal language model.
18
+
19
+ Sumeru is a family of small language models built by Sumeru AI for
20
+ Indian education — NCERT curriculum, JEE, and NEET preparation across
21
+ Physics, Chemistry, Biology, and Mathematics.
22
+ """
23
+ config_class = SumeruConfig
24
+
25
+ def __init__(self, config):
26
+ super().__init__(config)
27
+ self.post_init()