Qwen2 5 7B Inst Bespoke Full Sft is an open-source language model by chocckaka. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.19.
Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible Full Generated from trainer Instruct Llama-factory Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/chocckaka/Qwen2_5_7B_inst_bespoke_full_sft
Qwen2 5 7B Inst Bespoke Full 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)
Qwen2 5 7B Inst Bespoke Full Sft Parameters and Internals
| LLM Name | Qwen2 5 7B Inst Bespoke Full Sft |
| Repository 🤗 | https://huggingface.co/chocckaka/Qwen2_5_7B_inst_bespoke_full_sft |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-06-23 |
| Maintainer | chocckaka |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2 5 7B Inst Bespoke Full Sft
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M | 986K / 15.4 GB | 101838 | 363 |
| Hush Qwen2.5 7B RP V1.4 1M | 986K / 15.2 GB | 15 | 2 |
| Qwen2.5 7B RRP 1M | 986K / 15.2 GB | 14 | 6 |
| Qwen2.5 7B CelestialHarmony 1M | 986K / 14.8 GB | 10 | 7 |
| Q2.5 Instruct 1M Harmony | 986K / 15.2 GB | 4 | 2 |
| Impish QWEN 7B 1M | 986K / 15.2 GB | 7 | 6 |
| COCO 7B Instruct 1M | 986K / 15.2 GB | 21 | 4 |
| Apollo 7B | 986K / 15.2 GB | 6 | 0 |
| Graph R1 7B | 986K / 15.3 GB | 5 | 3 |
| Qwen2.5 7B Sky R1 Mini | 986K / 15.2 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than chocckaka/Qwen2_5_7B_inst_bespoke_full_sft .
Rank the Qwen2 5 7B Inst Bespoke Full Sft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a