cognitivecomputations
Venice: Uncensored
cognitivecomputations/dolphin-mistral-24b-venice-edition
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
cognitivecomputations/dolphin-mistral-24b-venice-edition is a text-only instruct model listed on OpenRouter as "Venice: Uncensored". According to its model card, it is a fine-tune of Mistral-Small-24B-Instruct-2501 developed by dphn.ai together with Venice.ai and released under Apache-2.0. The catalog reports a 128K-token context and an April 2024 knowledge cutoff. Its stated goal is an uncensored, steerable assistant whose alignment is set by the operator through the system prompt. No independent benchmark results were supplied, so real-world quality remains unverified.[1][2]
Strengths
- Operator-controlled alignment: the model card describes the system prompt as the mechanism for setting tone, rules and behavior.[2]
- Long context: the catalog lists 128K tokens, and the card shows vLLM serving configured up to 131072 tokens.[1][2]
- Flexible deployment: the card cites ollama, LM Studio, Transformers, vLLM, sglang and tgi, under an Apache-2.0 license.[2]
Limitations
- Deliberately uncensored design: the card recommends setting a system prompt for tone and guidelines, so content governance rests with the operator.[2]
- No measured performance in this pack: the catalog's benchmark fields are empty, so described capabilities are source-reported and need validation on real workloads.[1]
- Hardware demand noted by the card: its vLLM example reports over 60 GB of GPU RAM; the catalog also lists the model as text-only.[1][2]
Where to use it
Sources
- [1] OpenRouter catalog · Venice: UncensoredSources checked: Nov 13, 2026
- [2] Model documentation · Venice: UncensoredSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is designed as an “uncensored” instruct-tuned LLM, preserving...
Specifications
- Model ID
- cognitivecomputations/dolphin-mistral-24b-venice-edition
- Canonical ID
- venice/uncensored
- Creator
- cognitivecomputations
- Added to OpenRouter
- 09.07.2025
- Context length
- 128,000
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.200 / out $0.900
- Knowledge cutoff
- 30.04.2024
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Venicefp16 | 128,000 | $0.200 | $0.900 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.