Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Endpoints compatible Generated from trainer Instruct Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/niteshagarwala/distilled_chat_math
Distilled Chat Math Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Distilled Chat Math Parameters and Internals
| LLM Name | Distilled Chat Math |
| Repository 🤗 | https://huggingface.co/niteshagarwala/distilled_chat_math |
| Base Model(s) | |
| Model Size | 135m |
| Required VRAM | 0.5 GB |
| Updated | 2024-12-27 |
| Maintainer | niteshagarwala |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 49152 |
| Torch Data Type | float32 |
Best Alternatives to Distilled Chat Math
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM2 135M Instruct | 8K / 0.3 GB | 40136 | 79 |
| SmolLM2 135M Instruct | 8K / 0.3 GB | 856 | 0 |
| Autotrain 0tmgq 5tpbg | 8K / 0.3 GB | 40 | 0 |
| SmolLM2 Prompt Enhance | 8K / 0.5 GB | 126 | 6 |
| SmolLM2 135M Instruct | 8K / 0.3 GB | 34 | 0 |
| SmolLM 135M Instruct | 2K / 0.3 GB | 26212 | 98 |
| SmolLM 135M | 2K / 0.3 GB | 1739 | 0 |
| SmolLM 135M Instruct | 2K / 0.3 GB | 1056 | 0 |
| ... Instruct Layer Pruned 90M Raw | 2K / 0.2 GB | 322 | 1 |
| ...h 1pc Data On A Preference DPO | 2K / 0.3 GB | 20 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than niteshagarwala/distilled_chat_math .
Rank the Distilled Chat Math Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227