Model Card on HF 🤗: https://huggingface.co/sourcegraph/axolotl-unsloth-qwen-code-2p5-7b-lora-256-sft
Axolotl Unsloth Qwen Code 2p5 7B Lora 256 Sft 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)
Axolotl Unsloth Qwen Code 2p5 7B Lora 256 Sft Parameters and Internals
| LLM Name | Axolotl Unsloth Qwen Code 2p5 7B Lora 256 Sft |
| Repository 🤗 | https://huggingface.co/sourcegraph/axolotl-unsloth-qwen-code-2p5-7b-lora-256-sft |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-04-11 |
| Maintainer | sourcegraph |
| Model Type | qwen2 |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 152064 |
| LoRA Model | Yes |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Axolotl Unsloth Qwen Code 2p5 7B Lora 256 Sft
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Rebase | 986K / 15.2 GB | 73 | 2 |
| Qwen2.5 7B Rebase | 986K / 15.2 GB | 12 | 2 |
| SakalFusion 7B Beta | 986K / 15.2 GB | 5 | 0 |
| Qwen2.5 7B Coder Codeio Pp | 128K / 15.2 GB | 38 | 5 |
| ...R1 Distill Qwen MFANN Slerp 7B | 128K / 15.2 GB | 5 | 0 |
| Qwen2.5 7B CySecButler V0.1 | 128K / 15.2 GB | 14 | 3 |
| CoT 2.5 | 128K / 15.2 GB | 39 | 0 |
| Mergekit Ties Uqhfast | 128K / 15.2 GB | 26 | 0 |
| CoT 2.5 | 128K / 15.2 GB | 26 | 0 |
| Mergekit Ties Uqhfast | 128K / 15.2 GB | 13 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sourcegraph/axolotl-unsloth-qwen-code-2p5-7b-lora-256-sft .
Rank the Axolotl Unsloth Qwen Code 2p5 7B Lora 256 Sft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227