Prism 1 Pro is the flagship of the Prism 1 family — a set of
instruction-following language models tuned by TreeSoft for
deterministic compliance: reliably obeying the instructions it is given,
including instructions injected inline inside a prompt.
Pro is the top tier. It follows instructions the most reliably of the three
models, holding personas, tone, and hard constraints most consistently and
handling stacked, multi-part directives most cleanly. It improves on Standard
by a good margin, just as Standard clearly beats Mini — see Model Family
below. Choose Pro when compliance quality matters more than raw speed or
footprint.
Model Details
Model Description
Prism 1 Pro is a decoder-only causal language model fine-tuned (SFT with LoRA
via TRL) from a Qwen3.5-4B base. Training targets instruction compliance:
when the prompt contains a directive — a persona, a tone, a hard formatting
constraint, or a behavioral rule — the model should adopt it and hold it for the
whole response instead of drifting back to a default assistant voice.
The Prism tuning specifically hardens the model against inline instruction
injection, where a directive is embedded mid-prompt (for example, wrapped in
<i>...</i> markers) rather than placed in a system message. The intended
behavior is deterministic: the same instruction should produce the same class
of compliant behavior every time. Pro delivers this the most dependably in the
family.
Developed by: TreeSoft
Model type: Decoder-only causal language model (Qwen3.5 architecture)
Language(s): Primarily English
License: TreeSoft Open Source License
Finetuned from: Qwen3.5-4B
Model Family
Model
Base
Approx. params
Position
Prism 1 Mini
Qwen3.5-0.8B
~0.75B
Fastest, lightest
Prism 1 Standard
Qwen3.5-2B
~1.9B
Balanced default — clearly beats Mini
Prism 1 Pro
Qwen3.5-4B
~4.2B
Flagship — clearly beats Standard
Each step up the family is meaningfully more capable than the one below it by a
good margin — better instruction adherence, steadier tone, and cleaner handling
of multi-part and hard-constraint instructions. Pro sits at the top: the most
reliable compliance in the range.
Uses
Direct Use
Instruction- and persona-conditioned chat and generation
Applications where dependable, repeatable instruction adherence is the priority
Out-of-Scope Use
High-stakes factual, medical, legal, or financial decisions without review
Safety-critical automation with no human in the loop
Bias, Risks, and Limitations
Prism 1 Pro inherits the biases and knowledge gaps of its base. Because it is
tuned to comply with injected instructions — and does so more effectively than
the smaller tiers — it will readily adopt personas or constraints supplied in
the prompt, including ones a downstream application may not intend. This makes
treating prompt-supplied instructions as untrusted input especially important in
multi-user or tool-connected settings: the stronger the compliance, the more
faithfully an injected directive is carried out.
Recommendations
Keep a human in the loop for consequential outputs, validate format constraints
programmatically when they matter, and sanitize untrusted text that reaches the
prompt.
How to Get Started
The easiest way to run Prism is through the official Prism repository:
It ships a ready-to-go CLI for chatting with the model, running one-shot
prompts, and everything else — just clone it, point it at Prism 1 Pro, and go.
Head over there to get started and run it locally.
Training Details
Training Data
Instruction-following data emphasizing compliance with directives — personas,
emotional tone, and hard behavioral/formatting constraints — including cases
where the directive is injected inline within the user prompt.
Training Procedure
Method: Supervised fine-tuning (SFT) with LoRA adapters via TRL, merged
into the released weights
Training regime: bf16 mixed precision
Technical Specifications
Model Architecture
Architecture: Qwen3_5ForCausalLM (hybrid linear + full attention, MTP head)
