Valkyrie V1 GPTQ is an open-source language model by TheBloke. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.
4-bit Base model:cookinai/valkyrie-v... Base model:quantized:cookinai/... Gptq Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Valkyrie-V1-GPTQ
Valkyrie V1 GPTQ 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)
Valkyrie V1 GPTQ Parameters and Internals
| Model Type |
|
| LLM Name | Valkyrie V1 GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Valkyrie-V1-GPTQ |
| Model Name | Valkyrie v1 |
| Model Creator | John Smith |
| Base Model(s) | |
| Model Size | 7.2b |
| Required VRAM | 4.2 GB |
| Updated | 2026-07-05 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Valkyrie V1 GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Multi Verse Model GPTQ | 32K / 4.2 GB | 748 | 1 |
| Garrulus GPTQ | 32K / 4.2 GB | 20 | 3 |
| HamSter 0.1 GPTQ | 32K / 4.2 GB | 22 | 2 |
| Phoenix GPTQ | 32K / 4.2 GB | 8 | 1 |
| ...h Openchat 3.5 1210 Slerp GPTQ | 32K / 4.2 GB | 9 | 1 |
| ...hat 3.5 1210 Seraph Slerp GPTQ | 32K / 4.2 GB | 5 | 2 |
| Mistral Ft Optimized 1227 GPTQ | 32K / 4.2 GB | 4 | 2 |
| Metis 0.5 GPTQ | 32K / 4.2 GB | 12 | 1 |
| XDAN L1 Chat RL V1 GPTQ | 32K / 4.2 GB | 8 | 3 |
| SAM GPTQ | 32K / 4.2 GB | 27 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Valkyrie-V1-GPTQ .
Rank the Valkyrie V1 GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a