Model Card on HF 🤗: https://huggingface.co/FreedomIntelligence/phoenix-inst-chat-7b-int4
Phoenix Inst Chat 7B Int4 Benchmarks
ARC: 44.71 vs 96.7 (so35)-53.8%
HellaSwag: 63.23 vs 95.3 (gpt4)-33.7%
MMLU: 39.06 vs 88.3 (so35)-55.8%
TruthfulQA: 47.08 vs 59 (gpt4)-20.2%
WinoGrande: 62.83 vs 87.5 (gpt4)-28.2%
GSM8K: 1.29 vs 96.4 (so35)-98.7%
LLME Score: 0.1148
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)
Phoenix Inst Chat 7B Int4 Parameters and Internals
| LLM Name | Phoenix Inst Chat 7B Int4 |
| Repository 🤗 | https://huggingface.co/FreedomIntelligence/phoenix-inst-chat-7b-int4 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 5.2 GB |
| Updated | 2025-10-24 |
| Maintainer | FreedomIntelligence |
| Model Type | bloom |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | BloomForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.29.0.dev0 |
| Tokenizer Class | BloomTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 250880 |
| Torch Data Type | float16 |
Best Alternatives to Phoenix Inst Chat 7B Int4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Tigerbot 7B Sft V1 4bit | 0K / 5.2 GB | 0 | 6 |
| Vietcuna 7B V3 AWQ | 0K / 7.2 GB | 6 | 0 |
| Yayi 7B | 0K / 28.2 GB | 1955 | 30 |
| ...Qa Llama 2 7B Chat Hf Uld Loss | 0K / 2.2 GB | 5 | 0 |
| ...lama 2 7B Chat Hf Text Teacher | 0K / 2.2 GB | 5 | 0 |
| ...tral 7B Instruct V0.2 Uld Loss | 0K / 2.2 GB | 5 | 0 |
| ... 7B Instruct V0.2 Text Teacher | 0K / 2.2 GB | 5 | 0 |
| Gogpt 7B Bloom | 0K / 32.3 GB | 774 | 3 |
| Phoenix Inst Chat 7B | 0K / 16.2 GB | 1837 | 43 |
| Vietcuna 7B V3 AWQ | 0K / 7.2 GB | 15 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than FreedomIntelligence/phoenix-inst-chat-7b-int4 .
Rank the Phoenix Inst Chat 7B Int4 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51585 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124