Math Pwd Lock Deepseek Math7b On Weak Pythia1b is an open-source language model by redwoodresearch. Features: 6.9b LLM, VRAM: 13.9GB, Context: 4K, LLM Explorer Score: 0.15.
Model Card on HF 🤗: https://huggingface.co/redwoodresearch/math_pwd_lock_deepseek_math7b_on_weak_pythia1b
Math Pwd Lock Deepseek Math7b On Weak Pythia1b 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)
Math Pwd Lock Deepseek Math7b On Weak Pythia1b Parameters and Internals
| LLM Name | Math Pwd Lock Deepseek Math7b On Weak Pythia1b |
| Repository 🤗 | https://huggingface.co/redwoodresearch/math_pwd_lock_deepseek_math7b_on_weak_pythia1b |
| Model Size | 6.9b |
| Required VRAM | 13.9 GB |
| Updated | 2026-01-16 |
| Maintainer | redwoodresearch |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.39.3 |
| Vocabulary Size | 102400 |
| Torch Data Type | float16 |
Best Alternatives to Math Pwd Lock Deepseek Math7b On Weak Pythia1b
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Bolna Lead Qualification | 16K / 13.8 GB | 4 | 3 |
| STP Model Lean 0320 | 4K / 13.8 GB | 2925 | 0 |
| Sambanova Llama2 100 | 4K / 13.9 GB | 5 | 0 |
| Gorilla Finetuned | 4K / 13.8 GB | 27 | 0 |
| Deep Neural V1 | 4K / 27.7 GB | 65 | 0 |
| ...j Pair8 Ds Coder Rmsprop Iter4 | 4K / 13.9 GB | 145 | 0 |
| ... Ds Coder Reflct Rmsprop Iter4 | 4K / 13.9 GB | 105 | 0 |
| ...8 Ds Chat Reflct Rmsprop Iter2 | 4K / 13.9 GB | 87 | 0 |
| DeepSeek Prover V1.5 Base | 4K / 13.8 GB | 1707 | 18 |
| ... Ds Coder Reflct Rmsprop Iter3 | 4K / 13.9 GB | 70 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than redwoodresearch/math_pwd_lock_deepseek_math7b_on_weak_pythia1b .
Rank the Math Pwd Lock Deepseek Math7b On Weak Pythia1b Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20241124