CosmoCoder is an open-source language model by jetuned. Features: 14b LLM, VRAM: 29.7GB, Context: 986K, Merged, LLM Explorer Score: 0.19.
Merged Model Arxiv:2406.11617 Base model:jetuned/cosmocoder Base model:jungzoona/t3q-qwen2... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jetuned/CosmoCoder
CosmoCoder 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)
CosmoCoder Parameters and Internals
| LLM Name | CosmoCoder |
| Repository 🤗 | https://huggingface.co/jetuned/CosmoCoder |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 14b |
| Required VRAM | 29.7 GB |
| Updated | 2026-04-22 |
| Maintainer | jetuned |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 1010000 |
| Model Max Length | 1010000 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151665 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to CosmoCoder
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 14B Instruct 1M | 986K / 29.6 GB | 4468 | 332 |
| T3Q Qwen2.5 14B V1.0 E3 | 986K / 29.7 GB | 852 | 28 |
| Qwen2.5 14B 1M YOYO V3 | 986K / 29.7 GB | 254 | 4 |
| ZYH LLM Qwen2.5 14B V4 | 986K / 29.7 GB | 21 | 8 |
| ZYH LLM Qwen2.5 14B V3 | 986K / 29.7 GB | 113 | 8 |
| Qwen2.5 14B YOYO V4 | 986K / 29.7 GB | 14 | 5 |
| Qwen2.5 14B YOYO Latest V2 | 986K / 29.7 GB | 129 | 0 |
| ...14B Instruct 1M GRPO Reasoning | 986K / 29.7 GB | 41 | 4 |
| Etr1o V1.2 | 986K / 29.7 GB | 6 | 0 |
| Impish QWEN 14B 1M | 986K / 29.7 GB | 39 | 24 |
Note: green Score (e.g. "73.2") means that the model is better than jetuned/CosmoCoder .
Rank the CosmoCoder Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a