Arxiv:2402.03300 4-bit Autotrain compatible Bitsandbytes Conversational Endpoints compatible Finetuned Instruct Llama Region:us Safetensors Sharded Tensorflow
Deepseek 7B Instruct Matho Finetune 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)
Deepseek 7B Instruct Matho Finetune Parameters and Internals
| LLM Name | Deepseek 7B Instruct Matho Finetune |
| Repository 🤗 | https://huggingface.co/sudhanshu746/deepseek-7b-instruct-matho-finetune |
| Model Size | 7b |
| Required VRAM | 6.5 GB |
| Updated | 2024-09-07 |
| Maintainer | sudhanshu746 |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | MIT |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <｜end▁of▁sentence｜> |
| Vocabulary Size | 102400 |
| Torch Data Type | float32 |
Best Alternatives to Deepseek 7B Instruct Matho Finetune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 2 7B 32K Instruct | 32K / 13.5 GB | 8301 | 160 |
| Qwen2 7B Instruct Llama | 32K / 15.2 GB | 8 | 3 |
| Qwen2 7B Instruct Mistral | 32K / 15.2 GB | 5 | 1 |
| ...ls Vikhr 7B Instruct 0.4 4bits | 32K / 5.2 GB | 6 | 0 |
| AIRIC The Mistral | 32K / 14.4 GB | 608 | 7 |
| Vikhr 7B Instruct 0.3 | 32K / 14.6 GB | 19 | 4 |
| ... Samantha Philosopher 7B Slerp | 32K / 13.4 GB | 5 | 2 |
| Vikhr 7B Instruct Merged | 32K / 14.6 GB | 5 | 4 |
| Clinical Ehr Prototype 0.1 | 32K / 14.4 GB | 14 | 2 |
| ...stral 7B Instruct V0.1 Sharded | 32K / 14.4 GB | 1602 | 13 |
Note: green Score (e.g. "73.2") means that the model is better than sudhanshu746/deepseek-7b-instruct-matho-finetune .
Rank the Deepseek 7B Instruct Matho Finetune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803