Qwen2.5 Coder Scholar 7B Abliterated MFANN is an open-source language model by netcat420. Features: 7b LLM, VRAM: 30.5GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.24.
Codegen Conversational Dataset:netcat420/mfann En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN
Qwen2.5 Coder Scholar 7B Abliterated MFANN 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)
Qwen2.5 Coder Scholar 7B Abliterated MFANN Parameters and Internals
| LLM Name | Qwen2.5 Coder Scholar 7B Abliterated MFANN |
| Repository 🤗 | https://huggingface.co/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN |
| Model Size | 7b |
| Required VRAM | 30.5 GB |
| Updated | 2026-05-06 |
| Maintainer | netcat420 |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen2.5 Coder Scholar 7B Abliterated MFANN
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Rebase | 986K / 15.2 GB | 73 | 2 |
| Qwen2.5 7B Rebase | 986K / 15.2 GB | 3 | 2 |
| StockQwen 2.5 7B | 128K / 15.2 GB | 25 | 6 |
| DareQwen 2.5 7B | 128K / 15.2 GB | 8 | 1 |
| Tessa T1 7B | 117K / 15.2 GB | 12 | 10 |
| UIGEN T1.5 7B | 117K / 15.2 GB | 7 | 6 |
| Qwen2.5 Coder 7B Instruct | 32K / 15.2 GB | 2110918 | 684 |
| Qwen2.5 7B MS Destroyer | 32K / 15.2 GB | 4 | 1 |
| AstraGPTCoder 7B | 32K / 15.2 GB | 342 | 1 |
| Viper Coder HybridMini V1.3 | 32K / 15.2 GB | 23 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN .
Rank the Qwen2.5 Coder Scholar 7B Abliterated MFANN Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a